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Best Retail Intelligence Software - Page 4

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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Best Retail Intelligence Software At A Glance

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Highest Performer:
Easiest to Use:
Top Trending:
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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
118 Listings in Retail Intelligence Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    intely (inte.ly) is a Business Intelligence, Insights & Analytics platform for retail & wholesale businesses.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 91% Small-Business
    • 9% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • inte.ly features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.3
    9.2
    Ease of Setup
    Average: 8.8
    7.5
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

intely (inte.ly) is a Business Intelligence, Insights & Analytics platform for retail & wholesale businesses.

Users
No information available
Industries
No information available
Market Segment
  • 91% Small-Business
  • 9% Enterprise
inte.ly features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.3
9.2
Ease of Setup
Average: 8.8
7.5
Correction
Average: 8.4
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TruRating is a revolutionary solution that quickly connects businesses to the once silent majority. It ties customer feedback to transaction and basket data by gathering ratings at the point of paymen

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TruRating 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
    3
    Helpful
    3
    Customization
    2
    Ease of Use
    2
    Efficiency
    2
    Cons
    Exporting Issues
    1
    Export Limitations
    1
    Inadequate Feedback Mechanism
    1
    Limited Export Options
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TruRating features and usability ratings that predict user satisfaction
    7.9
    Data Types
    Average: 8.4
    7.1
    Validation
    Average: 8.3
    8.0
    Ease of Setup
    Average: 8.8
    8.9
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TruRating
    Year Founded
    2014
    HQ Location
    London, GB
    Twitter
    @TruRating
    1,128 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TruRating is a revolutionary solution that quickly connects businesses to the once silent majority. It ties customer feedback to transaction and basket data by gathering ratings at the point of paymen

Users
No information available
Industries
  • Retail
Market Segment
  • 100% Enterprise
TruRating 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
3
Helpful
3
Customization
2
Ease of Use
2
Efficiency
2
Cons
Exporting Issues
1
Export Limitations
1
Inadequate Feedback Mechanism
1
Limited Export Options
1
TruRating features and usability ratings that predict user satisfaction
7.9
Data Types
Average: 8.4
7.1
Validation
Average: 8.3
8.0
Ease of Setup
Average: 8.8
8.9
Correction
Average: 8.4
Seller Details
Seller
TruRating
Year Founded
2014
HQ Location
London, GB
Twitter
@TruRating
1,128 Twitter followers
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CB4;s software leverages your POS data to detect in-store operational issues affecting items with high local demand, helping your team capture lost sales. This results in better customer experience, h

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CB4 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 Accuracy
    1
    Data Centralization
    1
    Data Comprehensiveness
    1
    Ease of Use
    1
    Inventory Management
    1
    Cons
    Inadequate Reporting
    1
    Insufficient Analysis
    1
    Limited Analysis
    1
    Poor Categorization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CB4 features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    5.0
    Validation
    Average: 8.3
    9.2
    Ease of Setup
    Average: 8.8
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CB4
    Year Founded
    2012
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CB4;s software leverages your POS data to detect in-store operational issues affecting items with high local demand, helping your team capture lost sales. This results in better customer experience, h

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
CB4 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 Accuracy
1
Data Centralization
1
Data Comprehensiveness
1
Ease of Use
1
Inventory Management
1
Cons
Inadequate Reporting
1
Insufficient Analysis
1
Limited Analysis
1
Poor Categorization
1
CB4 features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
5.0
Validation
Average: 8.3
9.2
Ease of Setup
Average: 8.8
8.3
Correction
Average: 8.4
Seller Details
Seller
CB4
Year Founded
2012
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    EDITED is the world’s leading retail intelligence solution that empowers softline retailers across apparel, footwear, accessories, and homeware to make data-driven decisions with unparalleled speed an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EDITED features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    5.0
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EDITED
    Year Founded
    2009
    HQ Location
    London, England, United Kingdom
    Twitter
    @edited_hq
    9,199 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    236 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

EDITED is the world’s leading retail intelligence solution that empowers softline retailers across apparel, footwear, accessories, and homeware to make data-driven decisions with unparalleled speed an

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
EDITED features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
5.0
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
Seller
EDITED
Year Founded
2009
HQ Location
London, England, United Kingdom
Twitter
@edited_hq
9,199 Twitter followers
LinkedIn® Page
www.linkedin.com
236 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HALO is a bulletproof Business Management Platform (BMP) that lives in the cloud. The BMP integrates a strategic approach to every revenue generating aspect of your business.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HALO features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

HALO is a bulletproof Business Management Platform (BMP) that lives in the cloud. The BMP integrates a strategic approach to every revenue generating aspect of your business.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
HALO features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rockerbox empowers marketers from launch to scale, helping them easily see and evaluate channel effectiveness. We’ve built our platform for smart marketers to help them spend, analyze, scale, test, an

    Users
    No information available
    Industries
    • Retail
    • Consumer Goods
    Market Segment
    • 55% Mid-Market
    • 43% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rockerbox 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
    Year Founded
    2008
    HQ Location
    New York, US
    Twitter
    @doubleverify
    6,100 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,307 employees on LinkedIn®
    Ownership
    NYSE: DV
Product Description
How are these determined?Information
This description is provided by the seller.

Rockerbox empowers marketers from launch to scale, helping them easily see and evaluate channel effectiveness. We’ve built our platform for smart marketers to help them spend, analyze, scale, test, an

Users
No information available
Industries
  • Retail
  • Consumer Goods
Market Segment
  • 55% Mid-Market
  • 43% Small-Business
Rockerbox 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
Year Founded
2008
HQ Location
New York, US
Twitter
@doubleverify
6,100 Twitter followers
LinkedIn® Page
www.linkedin.com
1,307 employees on LinkedIn®
Ownership
NYSE: DV
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sweet Analytics, at the centre of all your data. Sweet connects with all the marketing platforms that you know and love and brings it all under one roof. Helping you understand customer retention and

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 71% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Sweet Analytics 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
    Analytics
    8
    Insights
    7
    Analytics Expertise
    6
    Helpful
    6
    Reporting
    4
    Cons
    Lack of Information
    2
    Learning Curve
    2
    Not Intuitive
    2
    Complexity
    1
    Confusing Instructions
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sweet Analytics features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Validation
    Average: 8.3
    9.4
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Avaland House, 110 London Road, Apsley, Hemel Hempstead, England, HP3 9SD
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sweet Analytics, at the centre of all your data. Sweet connects with all the marketing platforms that you know and love and brings it all under one roof. Helping you understand customer retention and

Users
No information available
Industries
  • Retail
Market Segment
  • 71% Small-Business
  • 24% Mid-Market
Sweet Analytics 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
Analytics
8
Insights
7
Analytics Expertise
6
Helpful
6
Reporting
4
Cons
Lack of Information
2
Learning Curve
2
Not Intuitive
2
Complexity
1
Confusing Instructions
1
Sweet Analytics features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Validation
Average: 8.3
9.4
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
Year Founded
2018
HQ Location
Avaland House, 110 London Road, Apsley, Hemel Hempstead, England, HP3 9SD
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AcuitySpark is an AI-powered data analytics platform designed to empower businesses in the retail, merchandising, finance, and marketing sectors. By integrating seamlessly with systems like Dynamics 3

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AcuitySpark features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1995
    HQ Location
    Cranbury, New Jersey
    Twitter
    @Visionet
    618 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,402 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AcuitySpark is an AI-powered data analytics platform designed to empower businesses in the retail, merchandising, finance, and marketing sectors. By integrating seamlessly with systems like Dynamics 3

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
AcuitySpark features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1995
HQ Location
Cranbury, New Jersey
Twitter
@Visionet
618 Twitter followers
LinkedIn® Page
www.linkedin.com
3,402 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Carbon6 helps brands recover lost revenue, scale advertising and streamline operations without the manual lift. Designed for both suppliers and sellers on Amazon and Walmart, Carbon6 combines automati

    Users
    No information available
    Industries
    • Consumer Electronics
    Market Segment
    • 76% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Carbon6 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
    12
    Efficiency
    9
    Centralization
    8
    Time-saving
    7
    Automation
    6
    Cons
    Challenges in Usage
    4
    Difficult Learning
    4
    Improvement Needed
    4
    Learning Curve
    4
    Limited Customization
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Carbon6 features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    10.0
    Validation
    Average: 8.3
    7.9
    Ease of Setup
    Average: 8.8
    10.0
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Carbon6
    Company Website
    Year Founded
    2021
    HQ Location
    Toronto, ca
    LinkedIn® Page
    www.linkedin.com
    187 employees on LinkedIn®
    Ownership
    SPS Commerce
Product Description
How are these determined?Information
This description is provided by the seller.

Carbon6 helps brands recover lost revenue, scale advertising and streamline operations without the manual lift. Designed for both suppliers and sellers on Amazon and Walmart, Carbon6 combines automati

Users
No information available
Industries
  • Consumer Electronics
Market Segment
  • 76% Small-Business
  • 29% Mid-Market
Carbon6 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
12
Efficiency
9
Centralization
8
Time-saving
7
Automation
6
Cons
Challenges in Usage
4
Difficult Learning
4
Improvement Needed
4
Learning Curve
4
Limited Customization
4
Carbon6 features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
10.0
Validation
Average: 8.3
7.9
Ease of Setup
Average: 8.8
10.0
Correction
Average: 8.4
Seller Details
Seller
Carbon6
Company Website
Year Founded
2021
HQ Location
Toronto, ca
LinkedIn® Page
www.linkedin.com
187 employees on LinkedIn®
Ownership
SPS Commerce
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ivy Recommender is an AI/ML-based guided sales application layer that sits on top of our unified commercial platform, your sales force makes data-driven decisions on the go. Our native Guided Sales S

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ivy Recommender features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    10.0
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2002
    HQ Location
    10 Marina Blvd, SG
    Twitter
    @ivymobility
    898 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    814 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ivy Recommender is an AI/ML-based guided sales application layer that sits on top of our unified commercial platform, your sales force makes data-driven decisions on the go. Our native Guided Sales S

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Mid-Market
Ivy Recommender features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
10.0
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
Year Founded
2002
HQ Location
10 Marina Blvd, SG
Twitter
@ivymobility
898 Twitter followers
LinkedIn® Page
www.linkedin.com
814 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MondaySmart® is a GenAI business intelligence solution that streamlines Monday morning reviews. It integrates data, automates analyses, and delivers actionable insights. The intuitive chatbot lets u

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MondaySmart features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.3
    0.0
    No information available
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    New York, US
    LinkedIn® Page
    in.linkedin.com
    786 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MondaySmart® is a GenAI business intelligence solution that streamlines Monday morning reviews. It integrates data, automates analyses, and delivers actionable insights. The intuitive chatbot lets u

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
MondaySmart features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.3
0.0
No information available
8.3
Correction
Average: 8.4
Seller Details
Year Founded
2015
HQ Location
New York, US
LinkedIn® Page
in.linkedin.com
786 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RetailMetrix is a full data analytics platform for retailers with the mission of enabling retailers to get value from their data. We process and store sales, labor and customer data using state of the

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • retailMetrix features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    10.0
    Validation
    Average: 8.3
    0.0
    No information available
    10.0
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Portland, US
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RetailMetrix is a full data analytics platform for retailers with the mission of enabling retailers to get value from their data. We process and store sales, labor and customer data using state of the

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
retailMetrix features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
10.0
Validation
Average: 8.3
0.0
No information available
10.0
Correction
Average: 8.4
Seller Details
Year Founded
2020
HQ Location
Portland, US
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With SiteRise, you can streamline your entire retail planning process, empowering your team with the tools and power to make informed decisions. No more guessing or wasting time on scattered informati

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SiteRise 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
    Customization
    1
    Ease of Use
    1
    Helpful
    1
    Integrations
    1
    Organization
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SiteRise features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.3
    9.2
    Ease of Setup
    Average: 8.8
    10.0
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SiteRise
    Year Founded
    2022
    HQ Location
    San Jose , US
    LinkedIn® Page
    www.linkedin.com
    21 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With SiteRise, you can streamline your entire retail planning process, empowering your team with the tools and power to make informed decisions. No more guessing or wasting time on scattered informati

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 25% Enterprise
SiteRise 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
Customization
1
Ease of Use
1
Helpful
1
Integrations
1
Organization
1
Cons
This product has not yet received any negative sentiments.
SiteRise features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.3
9.2
Ease of Setup
Average: 8.8
10.0
Correction
Average: 8.4
Seller Details
Seller
SiteRise
Year Founded
2022
HQ Location
San Jose , US
LinkedIn® Page
www.linkedin.com
21 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Product intelligence for retailers: assortment decisions based on ingredients, nutritional elements, and lifestyles motivating shoppers

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SPINS features and usability ratings that predict user satisfaction
    7.5
    Data Types
    Average: 8.4
    9.2
    Validation
    Average: 8.3
    10.0
    Ease of Setup
    Average: 8.8
    10.0
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SPINS
    Year Founded
    1995
    HQ Location
    Chicago, Illinois, United States
    LinkedIn® Page
    www.linkedin.com
    523 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Product intelligence for retailers: assortment decisions based on ingredients, nutritional elements, and lifestyles motivating shoppers

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Enterprise
SPINS features and usability ratings that predict user satisfaction
7.5
Data Types
Average: 8.4
9.2
Validation
Average: 8.3
10.0
Ease of Setup
Average: 8.8
10.0
Correction
Average: 8.4
Seller Details
Seller
SPINS
Year Founded
1995
HQ Location
Chicago, Illinois, United States
LinkedIn® Page
www.linkedin.com
523 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SPS Commerce Analytics empowers you with a single source of sell-through data so you can make faster, better decisions for your business. Forecast, plan and execute with precision to increase sales, o

    Users
    No information available
    Industries
    • Apparel & Fashion
    • Sporting Goods
    Market Segment
    • 50% Enterprise
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SPS Commerce Analytics features and usability ratings that predict user satisfaction
    10.0
    Data Types
    Average: 8.4
    10.0
    Validation
    Average: 8.3
    8.3
    Ease of Setup
    Average: 8.8
    10.0
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1987
    HQ Location
    Minneapolis, MN
    LinkedIn® Page
    www.linkedin.com
    3,219 employees on LinkedIn®
    Ownership
    NASDAQ:SPSC
    Total Revenue (USD mm)
    $312
Product Description
How are these determined?Information
This description is provided by the seller.

SPS Commerce Analytics empowers you with a single source of sell-through data so you can make faster, better decisions for your business. Forecast, plan and execute with precision to increase sales, o

Users
No information available
Industries
  • Apparel & Fashion
  • Sporting Goods
Market Segment
  • 50% Enterprise
  • 40% Mid-Market
SPS Commerce Analytics features and usability ratings that predict user satisfaction
10.0
Data Types
Average: 8.4
10.0
Validation
Average: 8.3
8.3
Ease of Setup
Average: 8.8
10.0
Correction
Average: 8.4
Seller Details
Year Founded
1987
HQ Location
Minneapolis, MN
LinkedIn® Page
www.linkedin.com
3,219 employees on LinkedIn®
Ownership
NASDAQ:SPSC
Total Revenue (USD mm)
$312