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Best Retail Intelligence Software

Subhransu Sahu
SS
Researched and written by Subhransu Sahu

Retail intelligence software helps retailers improve revenue and operations by delivering insights and advanced analytics. This software gathers, manages, and analyzes retail and e-commerce data from multiple sources, such as internal (software such as e-commerce platforms), external (e-commerce marketplaces), and industry benchmarking data provided by third parties.

The data is obtained through integration, parsing, and scraping. Artificial intelligence (AI) and machine learning (ML) are used to clean and analyze data for competitive intelligence, market analysis, brand protection, and pricing optimization.

This type of software is used by retailers that sell online, in-store, and through distribution networks. It can be used in consumer packaged goods (CPG) and durable goods to navigate the high volume of products and transactions.

Retail intelligence software integrates with business intelligence software to help users further analyze the data and create personalized visualizations.

To qualify for inclusion in the Retail Intelligence category, a product must:

Combine retail and e-commerce data from multiple sources
Update, cleanse, and validate data regularly
Provide technology such as AI and ML for advanced analytics
Deliver dashboards and customizable reports to monitor performance
Create industry benchmarking and consumer behavior trends
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Featured Retail Intelligence Software At A Glance

Minderest
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Leader:
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Easiest to Use:
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
117 Listings in Retail Intelligence Available
(244)4.4 out of 5
4th Easiest To Use in Retail Intelligence software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the first full-funnel connected commerce platform for the world’s most innovative brands.

    Users
    No information available
    Industries
    • Consumer Goods
    • Consumer Electronics
    Market Segment
    • 47% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Stackline Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Analysis
    61
    Insights
    60
    Ease of Use
    58
    Customer Support
    30
    Data Comprehensiveness
    29
    Cons
    Data Inaccuracy
    36
    Data Management Issues
    25
    Poor Categorization
    16
    Data Delays
    14
    Difficult Learning
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Stackline features and usability ratings that predict user satisfaction
    8.1
    Data Types
    Average: 8.4
    7.4
    Validation
    Average: 8.3
    8.3
    Ease of Setup
    Average: 8.8
    6.9
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Stackline
    Year Founded
    2014
    HQ Location
    Seattle, US
    Twitter
    @StacklineHQ
    1,919 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    254 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the first full-funnel connected commerce platform for the world’s most innovative brands.

Users
No information available
Industries
  • Consumer Goods
  • Consumer Electronics
Market Segment
  • 47% Mid-Market
  • 35% Enterprise
Stackline Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Analysis
61
Insights
60
Ease of Use
58
Customer Support
30
Data Comprehensiveness
29
Cons
Data Inaccuracy
36
Data Management Issues
25
Poor Categorization
16
Data Delays
14
Difficult Learning
14
Stackline features and usability ratings that predict user satisfaction
8.1
Data Types
Average: 8.4
7.4
Validation
Average: 8.3
8.3
Ease of Setup
Average: 8.8
6.9
Correction
Average: 8.4
Seller Details
Seller
Stackline
Year Founded
2014
HQ Location
Seattle, US
Twitter
@StacklineHQ
1,919 Twitter followers
LinkedIn® Page
www.linkedin.com
254 employees on LinkedIn®
(122)4.5 out of 5
10th Easiest To Use in Retail Intelligence software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crisp connects and analyzes retail data across the supply chain, empowering CPG brands with real-time, actionable insights to keep shelves stocked, reduce waste and skyrocket profitability. Crisp'

    Users
    No information available
    Industries
    • Food & Beverages
    • Consumer Goods
    Market Segment
    • 70% Small-Business
    • 25% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Crisp is a data platform that helps companies grow distribution by identifying opportunities for regions, stores and skus, and provides access to retailer POS data in near real-time.
    • Users like the ease of setup, the ability to update focuses, the training and follow-up support, the reporting features, the data catalog feature, and the ability to personalize and bookmark preferences.
    • Reviewers mentioned issues with the system not effectively notifying about password changes, difficulty finding needed metrics due to too many choices, lack of normalization across different datasets, inability to pull year over year sales data without crashing, and delays in data upload.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Crisp Data Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    37
    Data Comprehensiveness
    19
    Data Accuracy
    12
    Customer Support
    11
    Setup Ease
    10
    Cons
    Data Management Issues
    9
    Filtering Issues
    7
    Inadequate Reporting
    7
    Limited Flexibility
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crisp Data Platform features and usability ratings that predict user satisfaction
    7.9
    Data Types
    Average: 8.4
    7.4
    Validation
    Average: 8.3
    8.5
    Ease of Setup
    Average: 8.8
    7.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Crisp
    Company Website
    Year Founded
    2016
    HQ Location
    New York, NY
    Twitter
    @Go_Crisp
    94 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    294 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crisp connects and analyzes retail data across the supply chain, empowering CPG brands with real-time, actionable insights to keep shelves stocked, reduce waste and skyrocket profitability. Crisp'

Users
No information available
Industries
  • Food & Beverages
  • Consumer Goods
Market Segment
  • 70% Small-Business
  • 25% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Crisp is a data platform that helps companies grow distribution by identifying opportunities for regions, stores and skus, and provides access to retailer POS data in near real-time.
  • Users like the ease of setup, the ability to update focuses, the training and follow-up support, the reporting features, the data catalog feature, and the ability to personalize and bookmark preferences.
  • Reviewers mentioned issues with the system not effectively notifying about password changes, difficulty finding needed metrics due to too many choices, lack of normalization across different datasets, inability to pull year over year sales data without crashing, and delays in data upload.
Crisp Data Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
37
Data Comprehensiveness
19
Data Accuracy
12
Customer Support
11
Setup Ease
10
Cons
Data Management Issues
9
Filtering Issues
7
Inadequate Reporting
7
Limited Flexibility
6
Slow Performance
6
Crisp Data Platform features and usability ratings that predict user satisfaction
7.9
Data Types
Average: 8.4
7.4
Validation
Average: 8.3
8.5
Ease of Setup
Average: 8.8
7.2
Correction
Average: 8.4
Seller Details
Seller
Crisp
Company Website
Year Founded
2016
HQ Location
New York, NY
Twitter
@Go_Crisp
94 Twitter followers
LinkedIn® Page
www.linkedin.com
294 employees on LinkedIn®

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(312)4.4 out of 5
Optimized for quick response
12th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully int

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Board Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    24
    Features
    16
    Flexibility
    16
    Efficiency
    15
    Easy Integrations
    13
    Cons
    Missing Features
    9
    Learning Curve
    7
    Slow Performance
    7
    Limitations
    6
    Limited Functionality
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Board features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    7.8
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1994
    HQ Location
    Chiasso, Ticino
    Twitter
    @BoardSoftware
    27,410 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    924 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully int

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 38% Enterprise
Board Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
24
Features
16
Flexibility
16
Efficiency
15
Easy Integrations
13
Cons
Missing Features
9
Learning Curve
7
Slow Performance
7
Limitations
6
Limited Functionality
6
Board features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
7.8
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
Company Website
Year Founded
1994
HQ Location
Chiasso, Ticino
Twitter
@BoardSoftware
27,410 Twitter followers
LinkedIn® Page
www.linkedin.com
924 employees on LinkedIn®
(33)4.9 out of 5
2nd Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    What if your brand could predict the perfect moment to nudge every customer automatically? Replenit is agentic AI for marketers who are tired of spraying and praying. Our tech tracks every shopper’s u

    Users
    No information available
    Industries
    • Retail
    • Cosmetics
    Market Segment
    • 55% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Replenit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    12
    Automation
    11
    Ease of Use
    11
    Features
    7
    Easy Integrations
    6
    Cons
    Feature Limitations
    2
    Limited Flexibility
    2
    Campaign Management Issues
    1
    Complex Usability
    1
    Dashboard Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Replenit features and usability ratings that predict user satisfaction
    9.6
    Data Types
    Average: 8.4
    9.8
    Validation
    Average: 8.3
    9.6
    Ease of Setup
    Average: 8.8
    9.5
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Replenit
    Company Website
    Year Founded
    2025
    HQ Location
    Warszawa,, PL
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

What if your brand could predict the perfect moment to nudge every customer automatically? Replenit is agentic AI for marketers who are tired of spraying and praying. Our tech tracks every shopper’s u

Users
No information available
Industries
  • Retail
  • Cosmetics
Market Segment
  • 55% Small-Business
  • 33% Mid-Market
Replenit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
12
Automation
11
Ease of Use
11
Features
7
Easy Integrations
6
Cons
Feature Limitations
2
Limited Flexibility
2
Campaign Management Issues
1
Complex Usability
1
Dashboard Issues
1
Replenit features and usability ratings that predict user satisfaction
9.6
Data Types
Average: 8.4
9.8
Validation
Average: 8.3
9.6
Ease of Setup
Average: 8.8
9.5
Correction
Average: 8.4
Seller Details
Seller
Replenit
Company Website
Year Founded
2025
HQ Location
Warszawa,, PL
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
(263)4.9 out of 5
Optimized for quick response
1st Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ContactPigeon empowers retailers to build interactions that resonate deeply with their customers. By unifying real-time customer data with advanced AI and automation engines, we enable businesses to s

    Users
    • Marketing Manager
    • Marketing Director
    Industries
    • Apparel & Fashion
    • Retail
    Market Segment
    • 62% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ContactPigeon Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation Efficiency
    64
    Automation
    57
    Customer Engagement
    49
    Ease of Use
    42
    Customer Support
    40
    Cons
    Slow Performance
    13
    Learning Curve
    11
    Slow Loading
    11
    Time-Consuming
    9
    Delay Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ContactPigeon features and usability ratings that predict user satisfaction
    8.9
    Data Types
    Average: 8.4
    9.4
    Validation
    Average: 8.3
    9.6
    Ease of Setup
    Average: 8.8
    9.4
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Athens, Greece
    Twitter
    @ContactPigeon
    461 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ContactPigeon empowers retailers to build interactions that resonate deeply with their customers. By unifying real-time customer data with advanced AI and automation engines, we enable businesses to s

Users
  • Marketing Manager
  • Marketing Director
Industries
  • Apparel & Fashion
  • Retail
Market Segment
  • 62% Small-Business
  • 33% Mid-Market
ContactPigeon Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation Efficiency
64
Automation
57
Customer Engagement
49
Ease of Use
42
Customer Support
40
Cons
Slow Performance
13
Learning Curve
11
Slow Loading
11
Time-Consuming
9
Delay Issues
8
ContactPigeon features and usability ratings that predict user satisfaction
8.9
Data Types
Average: 8.4
9.4
Validation
Average: 8.3
9.6
Ease of Setup
Average: 8.8
9.4
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2014
HQ Location
Athens, Greece
Twitter
@ContactPigeon
461 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
(59)4.7 out of 5
Optimized for quick response
5th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SupplyPike is a deductions management platform that empowers suppliers to effortlessly identify and recover retailer deductions while preventing revenue losses in their supply chain. SupplyPike assist

    Users
    No information available
    Industries
    • Consumer Goods
    • Manufacturing
    Market Segment
    • 51% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SupplyPike Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    27
    Customer Support
    25
    Helpful
    18
    Time-saving
    14
    Supply Chain Management
    12
    Cons
    Data Management Issues
    5
    Expensive
    3
    Lacking Features
    3
    Missing Features
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SupplyPike features and usability ratings that predict user satisfaction
    8.6
    Data Types
    Average: 8.4
    8.9
    Validation
    Average: 8.3
    9.3
    Ease of Setup
    Average: 8.8
    8.5
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1987
    HQ Location
    Minneapolis, MN
    LinkedIn® Page
    www.linkedin.com
    3,199 employees on LinkedIn®
    Ownership
    NASDAQ:SPSC
Product Description
How are these determined?Information
This description is provided by the seller.

SupplyPike is a deductions management platform that empowers suppliers to effortlessly identify and recover retailer deductions while preventing revenue losses in their supply chain. SupplyPike assist

Users
No information available
Industries
  • Consumer Goods
  • Manufacturing
Market Segment
  • 51% Small-Business
  • 42% Mid-Market
SupplyPike Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
27
Customer Support
25
Helpful
18
Time-saving
14
Supply Chain Management
12
Cons
Data Management Issues
5
Expensive
3
Lacking Features
3
Missing Features
3
Complexity
2
SupplyPike features and usability ratings that predict user satisfaction
8.6
Data Types
Average: 8.4
8.9
Validation
Average: 8.3
9.3
Ease of Setup
Average: 8.8
8.5
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
1987
HQ Location
Minneapolis, MN
LinkedIn® Page
www.linkedin.com
3,199 employees on LinkedIn®
Ownership
NASDAQ:SPSC
(20)4.3 out of 5
Optimized for quick response
15th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through ins

    Users
    No information available
    Industries
    • Consumer Goods
    Market Segment
    • 45% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CommerceIQ Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Analysis
    9
    Ease of Use
    6
    Customer Support
    5
    Efficiency
    5
    Business Growth
    4
    Cons
    Data Inaccuracy
    6
    Software Bugs
    3
    Limited Customization
    2
    Poor Customer Support
    2
    Slow Performance
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CommerceIQ features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.0
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    Mountain View, US
    LinkedIn® Page
    www.linkedin.com
    688 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through ins

Users
No information available
Industries
  • Consumer Goods
Market Segment
  • 45% Mid-Market
  • 35% Enterprise
CommerceIQ Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Analysis
9
Ease of Use
6
Customer Support
5
Efficiency
5
Business Growth
4
Cons
Data Inaccuracy
6
Software Bugs
3
Limited Customization
2
Poor Customer Support
2
Slow Performance
2
CommerceIQ features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.0
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
Company Website
Year Founded
2012
HQ Location
Mountain View, US
LinkedIn® Page
www.linkedin.com
688 employees on LinkedIn®
(184)4.4 out of 5
7th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Syndigo is a leader in AI-first PXM, MDM, and PIM, empowering brands, retailers, and distributors to create winning product experiences. Syndigo offers the most extensive brand-retail network, the lea

    Users
    No information available
    Industries
    • Consumer Goods
    • Retail
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Syndigo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    30
    Ease of Use
    30
    Helpful
    17
    Quick Response
    12
    Features
    11
    Cons
    Data Management Issues
    13
    Learning Curve
    8
    Complexity
    7
    Complex Usability
    7
    UX Improvement
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Syndigo features and usability ratings that predict user satisfaction
    7.5
    Data Types
    Average: 8.4
    7.5
    Validation
    Average: 8.3
    8.3
    Ease of Setup
    Average: 8.8
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Syndigo
    Company Website
    Year Founded
    2017
    HQ Location
    Chicago, Illinois
    Twitter
    @syndigoLLC
    281 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,371 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Syndigo is a leader in AI-first PXM, MDM, and PIM, empowering brands, retailers, and distributors to create winning product experiences. Syndigo offers the most extensive brand-retail network, the lea

Users
No information available
Industries
  • Consumer Goods
  • Retail
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Syndigo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
30
Ease of Use
30
Helpful
17
Quick Response
12
Features
11
Cons
Data Management Issues
13
Learning Curve
8
Complexity
7
Complex Usability
7
UX Improvement
7
Syndigo features and usability ratings that predict user satisfaction
7.5
Data Types
Average: 8.4
7.5
Validation
Average: 8.3
8.3
Ease of Setup
Average: 8.8
8.3
Correction
Average: 8.4
Seller Details
Seller
Syndigo
Company Website
Year Founded
2017
HQ Location
Chicago, Illinois
Twitter
@syndigoLLC
281 Twitter followers
LinkedIn® Page
www.linkedin.com
1,371 employees on LinkedIn®
(111)4.6 out of 5
3rd Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use da

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 62% Mid-Market
    • 23% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Intellicus is a data management and reporting tool that allows users to create, schedule, and send reports, monitor performance metrics, and manage access to sensitive data.
    • Users frequently mention the ease of creating and tweaking reports, the ability to monitor real-time dashboards, and the convenience of scheduling and automatic report delivery.
    • Users mentioned issues such as some reports taking longer to load with large data sizes, a learning curve for new users, and the need for more detailed support documentation and tutorials.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Intellicus Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Reporting
    28
    Dashboard Customization
    19
    Data Visualization
    19
    Customization
    18
    Cons
    Complex Usability
    18
    Difficult Learning
    13
    Learning Curve
    12
    Complexity
    9
    Learning Difficulty
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Intellicus features and usability ratings that predict user satisfaction
    9.2
    Data Types
    Average: 8.4
    9.2
    Validation
    Average: 8.3
    8.9
    Ease of Setup
    Average: 8.8
    8.6
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2004
    HQ Location
    Los Gatos, CA
    Twitter
    @Intellicus
    278 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    214 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use da

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 62% Mid-Market
  • 23% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Intellicus is a data management and reporting tool that allows users to create, schedule, and send reports, monitor performance metrics, and manage access to sensitive data.
  • Users frequently mention the ease of creating and tweaking reports, the ability to monitor real-time dashboards, and the convenience of scheduling and automatic report delivery.
  • Users mentioned issues such as some reports taking longer to load with large data sizes, a learning curve for new users, and the need for more detailed support documentation and tutorials.
Intellicus Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Reporting
28
Dashboard Customization
19
Data Visualization
19
Customization
18
Cons
Complex Usability
18
Difficult Learning
13
Learning Curve
12
Complexity
9
Learning Difficulty
9
Intellicus features and usability ratings that predict user satisfaction
9.2
Data Types
Average: 8.4
9.2
Validation
Average: 8.3
8.9
Ease of Setup
Average: 8.8
8.6
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2004
HQ Location
Los Gatos, CA
Twitter
@Intellicus
278 Twitter followers
LinkedIn® Page
www.linkedin.com
214 employees on LinkedIn®
(39)4.3 out of 5
14th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Market360 helps brands, retailers, and manufacturers grow online revenue with variant-level data and insights. Supported by eCommerce experts, we empower your teams to make decisions at speed and scal

    Users
    No information available
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 49% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Market360 features and usability ratings that predict user satisfaction
    8.0
    Data Types
    Average: 8.4
    8.1
    Validation
    Average: 8.3
    9.0
    Ease of Setup
    Average: 8.8
    7.8
    Correction
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    eClerx
    Company Website
    Year Founded
    2000
    HQ Location
    Mumbai, Maharashtra
    Twitter
    @eClerx
    1,309 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,488 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Market360 helps brands, retailers, and manufacturers grow online revenue with variant-level data and insights. Supported by eCommerce experts, we empower your teams to make decisions at speed and scal

Users
No information available
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 49% Small-Business
  • 38% Mid-Market
Market360 features and usability ratings that predict user satisfaction
8.0
Data Types
Average: 8.4
8.1
Validation
Average: 8.3
9.0
Ease of Setup
Average: 8.8
7.8
Correction
Average: 8.3
Seller Details
Seller
eClerx
Company Website
Year Founded
2000
HQ Location
Mumbai, Maharashtra
Twitter
@eClerx
1,309 Twitter followers
LinkedIn® Page
www.linkedin.com
18,488 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Premise is a data and analytics platform that empowers decision makers with real-time, actionable information. By combining the power of a global network of on-the-ground contributors with industry le

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 18% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Premise features and usability ratings that predict user satisfaction
    8.5
    Data Types
    Average: 8.4
    8.8
    Validation
    Average: 8.3
    10.0
    Ease of Setup
    Average: 8.8
    8.8
    Correction
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Premise
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @premisedata
    9,590 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    419 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Premise is a data and analytics platform that empowers decision makers with real-time, actionable information. By combining the power of a global network of on-the-ground contributors with industry le

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 18% Mid-Market
Premise features and usability ratings that predict user satisfaction
8.5
Data Types
Average: 8.4
8.8
Validation
Average: 8.3
10.0
Ease of Setup
Average: 8.8
8.8
Correction
Average: 8.3
Seller Details
Seller
Premise
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@premisedata
9,590 Twitter followers
LinkedIn® Page
www.linkedin.com
419 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Intelligence Node is a real-time, AI-driven retail price monitoring and competitive analytics platform designed to help businesses enhance product-level profitability and increase margins through data

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 29% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Intelligence Node is a tool for engineering teams in medium to large retail operations or brands, providing real-time competitive insights at scale.
    • Users like the real-time, AI-driven pricing and retail analytics, the user-friendly interface, the quick response time, and the high product matching accuracy.
    • Users mentioned that the amount of data can feel overwhelming, there is a learning curve when navigating its advanced features, and the login interface could be improved.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IntelligenceNode Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    User Interface
    4
    Data Accuracy
    3
    Ease of Use
    3
    Innovation
    3
    Analytics
    2
    Cons
    Outdated Interface
    2
    UX Improvement
    2
    Dashboard Issues
    1
    Data Management Issues
    1
    Data Overload
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IntelligenceNode features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.3
    9.0
    Ease of Setup
    Average: 8.8
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, California
    Twitter
    @bigdataNODE
    7,973 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    132 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Intelligence Node is a real-time, AI-driven retail price monitoring and competitive analytics platform designed to help businesses enhance product-level profitability and increase margins through data

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Small-Business
  • 29% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Intelligence Node is a tool for engineering teams in medium to large retail operations or brands, providing real-time competitive insights at scale.
  • Users like the real-time, AI-driven pricing and retail analytics, the user-friendly interface, the quick response time, and the high product matching accuracy.
  • Users mentioned that the amount of data can feel overwhelming, there is a learning curve when navigating its advanced features, and the login interface could be improved.
IntelligenceNode Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
User Interface
4
Data Accuracy
3
Ease of Use
3
Innovation
3
Analytics
2
Cons
Outdated Interface
2
UX Improvement
2
Dashboard Issues
1
Data Management Issues
1
Data Overload
1
IntelligenceNode features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.3
9.0
Ease of Setup
Average: 8.8
8.3
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2012
HQ Location
San Francisco, California
Twitter
@bigdataNODE
7,973 Twitter followers
LinkedIn® Page
www.linkedin.com
132 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bizom is a retail intelligence platform that helps FMCG brands to achieve smarter distribution by improving their manpower efficiency, channel performance and product performance. Our presence is in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Bizom Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    1
    Features Variety
    1
    Implementation Ease
    1
    Insights
    1
    Integrations
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bizom features and usability ratings that predict user satisfaction
    6.7
    Data Types
    Average: 8.4
    6.3
    Validation
    Average: 8.3
    9.2
    Ease of Setup
    Average: 8.8
    5.4
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Bangalore, India
    Twitter
    @get_bizom
    453 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    533 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bizom is a retail intelligence platform that helps FMCG brands to achieve smarter distribution by improving their manpower efficiency, channel performance and product performance. Our presence is in

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Bizom Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
1
Features Variety
1
Implementation Ease
1
Insights
1
Integrations
1
Cons
This product has not yet received any negative sentiments.
Bizom features and usability ratings that predict user satisfaction
6.7
Data Types
Average: 8.4
6.3
Validation
Average: 8.3
9.2
Ease of Setup
Average: 8.8
5.4
Correction
Average: 8.4
Seller Details
Year Founded
2008
HQ Location
Bangalore, India
Twitter
@get_bizom
453 Twitter followers
LinkedIn® Page
www.linkedin.com
533 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Numerator Insights provides manufacturers and retailers visibility into omnichannel consumer behaviors including brand and channel switching, household penetration, and shopper profiles within a user-

    Users
    No information available
    Industries
    • Consumer Goods
    • Food & Beverages
    Market Segment
    • 56% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Numerator Insights features and usability ratings that predict user satisfaction
    8.7
    Data Types
    Average: 8.4
    8.0
    Validation
    Average: 8.3
    10.0
    Ease of Setup
    Average: 8.8
    8.7
    Correction
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Numerator
    HQ Location
    Chicago, Illinois
    Twitter
    @numerator
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,513 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Numerator Insights provides manufacturers and retailers visibility into omnichannel consumer behaviors including brand and channel switching, household penetration, and shopper profiles within a user-

Users
No information available
Industries
  • Consumer Goods
  • Food & Beverages
Market Segment
  • 56% Enterprise
  • 33% Mid-Market
Numerator Insights features and usability ratings that predict user satisfaction
8.7
Data Types
Average: 8.4
8.0
Validation
Average: 8.3
10.0
Ease of Setup
Average: 8.8
8.7
Correction
Average: 8.3
Seller Details
Seller
Numerator
HQ Location
Chicago, Illinois
Twitter
@numerator
1 Twitter followers
LinkedIn® Page
www.linkedin.com
2,513 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A Category Strategy & Assortment Optimization solution you can trust. Our individualized, tailored-for-you AI platform empowers you to better understand and target your products and retail account

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Insite AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Informed Decisions
    5
    Insights
    4
    Product Functionality
    4
    Business Growth
    3
    Cons
    Difficult Learning
    1
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Insite AI features and usability ratings that predict user satisfaction
    9.7
    Data Types
    Average: 8.4
    9.4
    Validation
    Average: 8.3
    9.6
    Ease of Setup
    Average: 8.8
    9.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Insite AI
    Year Founded
    2018
    HQ Location
    Bentonville, Arkansas, United States
    Twitter
    @InsiteAI
    29 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A Category Strategy & Assortment Optimization solution you can trust. Our individualized, tailored-for-you AI platform empowers you to better understand and target your products and retail account

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Small-Business
Insite AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Informed Decisions
5
Insights
4
Product Functionality
4
Business Growth
3
Cons
Difficult Learning
1
Expensive
1
Learning Curve
1
Insite AI features and usability ratings that predict user satisfaction
9.7
Data Types
Average: 8.4
9.4
Validation
Average: 8.3
9.6
Ease of Setup
Average: 8.8
9.2
Correction
Average: 8.4
Seller Details
Seller
Insite AI
Year Founded
2018
HQ Location
Bentonville, Arkansas, United States
Twitter
@InsiteAI
29 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®

Learn More About Retail Intelligence Software

What is Retail Intelligence Software?

Retail intelligence software helps retailers think beyond retail analytics solutions. Retail intelligence software is not only beneficial for retail businesses to collect and measure data from multiple sources such as retail pos systems, retail management systems, retail IoT devices, e-commerce platforms, marketplaces, etc., but it also creates data-driven models that can learn on its own. Artificial intelligence (AI) and machine learning (ML) help glean information from unstructured data, images, and videos to provide retailers with crucial business insights, helping them understand trends and make more accurate predictions.

Retail intelligence software is mainly used by consumer packaged goods (CPG) and the retail industry because of the large volumes of diverse data. It arms retailers with real-time, granular data that helps streamline operations, increase profits, and deliver exceptional customer experiences. It analyzes stockouts, shelf space usage, share of each product, and in-store displays and measures the effectiveness of promotions.

What are the Common Features of Retail Intelligence Software?

The following are some core features within retail intelligence software that can help retailers find the best solution to discover actionable insights:

Omnichannel data integration: Retail intelligence software connects data from across the entire enterprise. It provides uniform, frictionless integration across thousands of data sources from any system, including inventory management, point of sale, ERP, and CRM. The ability to save time and energy by automating the data collection, organization and storage process is an important function of the system.

Real-time data processing and insights: With the power of AI and ML, retail intelligence solutions process data as soon as it is collected and uploaded to the database. It allows real-time access to key KPIs, such as sales, inventory levels, pricing, and more. The intelligence system cleanses, validates, analyzes, and forecasts the data to create easily digestible reports for managers, decision-makers, and stakeholders.

Reporting using customizable dashboards: It empowers retail business users to visualize and analyze data through intuitive dashboards. Retail intelligence tools are equipped with capabilities to create beautiful dashboards that allow users to explore patterns in data and tell a more visual story. Data-rich visualizations take reporting and analytics to the next level and provide businesses with deeper insights into what’s happening at the moment.

What are the Benefits of Retail Intelligence Software?

Retail intelligence solutions are beneficial to retailers, suppliers, and customers. The information derived from the retail data uncovers areas for improvement and optimizes the customer experience at the store. Here’s how all the stakeholders benefit from this software:

Track customer movement: Identifying where customers are coming from is an essential feature of retail intelligence tools. It helps businesses discover how consumers find their products and websites, such as through referrals or email campaigns. It also allows retailers to run hyper-personalized customer campaigns based on their demographics. 

Track customer spending: Retailers leverage retail intelligence platforms to track customer spending patterns and behaviors through loyalty programs. It also allows retailers to devise loyalty programs based on customer purchase history and provide rewards and personalized offerings to improve customer engagement further. 

Deliver personalized shopping experiences: With the help of customer behavior data, retail intelligence platforms enable retailers to create unique experiences tailored to individual customers. From the first visit to post-checkout, retailers have the opportunity to personalize every step of the customer journey.

Gain visibility into supply chain: A retail intelligence platform in conjunction with a retail POS system or retail inventory management system allows retailers to see what's happening in the supply chain. It helps to track the movement and storage of raw materials, work-in-process inventory, finished goods, and end-to-end order fulfillment of the business. Using supply chain data, these tools recommend the best ways to optimize the supply chain and address related issues.

Design campaigns and retargeting: The tool helps design and run targeted marketing campaigns based on customer behavior and measure their effectiveness. Offline retail stores can plan and create trade promotions in retail stores to promote their product and services. Online retailers can see whether marketing campaigns are working and consumers click on links, open emails, etc.

Monitor social media behavior: Retail intelligence software helps retailers monitor social media behavior using sentiment analysis to track product ratings. Data from social media monitoring can be analyzed on retail intelligence platforms to gain insights about a brand, product, competitors, industry, and a lot more.

Who Uses Retail Intelligence Software?

Analysts or managers from different retail and CPG industries use this software to carry out daily routine analytical tasks. Here’s a list of a few personnel who often use this software.

Retail store managers: Store managers use retail intelligence software to track and measure store KPIs such as footfalls, sales, inventory counts, etc., on a monthly, quarterly, and yearly basis.

Analytics managers: Analytics managers implement data mining to draw actionable insights using various algorithms and modeling techniques such as big data, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics using retail intelligence tools.

Brand or marketing managers: Brand or marketing managers use retail intelligence platforms to monitor brand performance through sales data. It helps to track consumer behavior and trends, which allows them to strategize marketing campaigns and loyalty programs.

What are the Alternatives to Retail Intelligence Software?

The following alternative software can partially or completely replace retail intelligence tools:

Retail analytics: Retail analytics software empowers retail businesses by providing insights into all aspects of the store using business intelligence data, such as sales figures, inventory levels, customer data, supply chain data, etc. It is a close alternative to retail intelligence platforms and can be used interchangeably. It mainly helps clean and organize inconsistent data sets and visualize them on a single intuitive retail dashboard for easy understanding and interpretation. A software named retail analytics and business intelligence tools includes features of both analytics and intelligence platforms.

Software Related to Retail Intelligence Software

Related solutions that can be used together with retail intelligence software include other retail software such as:

Retail POS systems: Retail intelligence software can be integrated with retail POS systems to pull out sales data, inventory data, customer purchase history, etc., for data analysis and insight generation.

Retail pricing software: Retail pricing software helps retailers analyze the pricing of products and develop product pricing strategies. Retail intelligence solution further helps in analyzing and optimizing pricing data.

Trade promotion management software: Retail intelligence software also collaborates with trade promotion software to measure the performance of trade promotions. Intelligent dashboards help track the progress and performance of promotional activities in a retail store.

Retail IoT software: Retail IoT devices like optimal staffing level indicators, movement tracking systems, cashier-less payment systems, smart carts, etc., can be integrated with retail intelligence software to analyze the data from these devices and recommend unique points for improvement of in-store operations.

Challenges with Retail Intelligence Software

Retail intelligence solutions can come with their own set of challenges. 

Software integration: Retail intelligence platforms need to be integrated with multiple types of retail software, such as retail POS, retail management, etc., to export and analyze data. A significant risk during software integration is incompatibility, which leads to the inability to perform important functions.

Software expertise: Intelligence tools are difficult for laymen to understand and operate. Tools like these need a good understanding of data, and some data analytics skills are an added advantage. Companies need to ensure that they invest in resource capacity building or hire resources with specific skill sets before investing in such software.

Software subscription: Most retail intelligence solutions are cloud-based and available to buyers on a subscription model. The challenge to buyers is the recurring cost associated with the software. While enterprises might not find it an issue, small and mid-size retail companies may face an issue with allocating a specific budget to avail software features every year.

How to Buy Retail Intelligence Software

Requirements Gathering (RFI/RFP) for Retail Intelligence Software

Requirement gathering ensures that the software has all the features a business needs. When selecting retail intelligence software, it is important to first look at how the business operates and then familiarize oneself with the different types of software available. It also helps to ask critical questions about the need for the software. For example, retail intelligence solutions help analyze complex retail data and present insights, but the buyer should also know if there is enough data to process and how these insights will help improve the existing position of the retail business.

Compare Retail Intelligence Software Products

Create a long list

Depending on the industry, the buyer might want to create a long list of software designed to help businesses. A long list always helps buyers select the right software from many products available for retail intelligence. A long list must consist of products that include metrics like product popularity, the price offered for product add-ons, schemes for upgrading, and round-the-clock customer service support.

Create a short list

A short list narrows down the long list of buyers and helps in constructive decision-making on which software to opt for. Short lists are more specific to the exact need of the buyer mapped with the features offered by the product and generally whittle down the long list based on the budget. For example, buyers looking for cloud-based retail intelligence software must not keep the software installed on-premises on the short list or only select software within the company’s IT budget.

Conduct demos

Demos are an essential part of the entire software implementation process. It ensures that the retail intelligence software is running smoothly and is compatible with the existing business system. It helps meet realistic expectations from the product. During demos, buyers should ask specific questions about the functionalities they care about most. For example, one might ask to be walked through data importing and exporting, tracking features, how to create dashboards and visualization, how to integrate with other software, or how to look at real-time retail data.

Selection of Retail Intelligence Software

Choose a selection team

A team of in-house IT personnel, project managers, heads of departments, retail experts, and end users must be part of the selection process. Along with senior management, this selection team is responsible for selecting the right software and checking the entire retail intelligence software onboarding process. Buyers can also outsource technical consultants with domain-specific expertise to give constructive recommendations and suggestions in this process.

Negotiation

The negotiation process can happen upon receiving a price quote from the vendor. To successfully negotiate, the buyer must keep in mind the available budget to purchase the software and ask the vendor for some discounts in return for an annual upfront payment. Sometimes, a software provider may offer unlimited usage or add-ons if the buyers pay upfront instead of in installments. A successful negotiation means a courteous and constructive interaction that is a win-win for both parties.

Final decision

The final decision should be based on all the information gathered, features offered, and a price agreed upon by both parties involved in the purchasing process of the product. Senior management or the head of the department should decide to select the software after carefully going through all the information provided by the vendor team. Businesses should keep in mind to choose the solution that meets most of, if not all, their requirements. Later, they can upgrade to the premium version anytime.