Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Retailgrid is an innovative platform that harnesses artificial intelligence to enhance pricing strategies and retail analytics, allowing retailers to effectively refine pricing, promotions, and product assortment on a large scale. By merging internal metrics such as sales, costs, and inventory with external factors like competitor pricing and market trends, it offers a cohesive workspace for decision-making.
This platform features various functionalities, including rule-based pricing structures, dynamic repricing capabilities, price elasticity analysis, demand forecasting, and optimization driven by AI. Users can test different pricing methods, impose specific constraints like margin requirements and price limits, and automate pricing adjustments while maintaining complete transparency and audit trails.
Operating at the SKU level, Retailgrid accommodates extensive product assortments and is designed for omnichannel retail environments. Its user-friendly grid interface resembles a spreadsheet, enabling teams to develop personalized metrics, conduct analyses, and implement pricing strategies instantaneously.
Commonly achieved results include enhanced profit margins, improved competitiveness in pricing, and a significant reduction in manual tasks, ultimately leading to a more efficient retail operation. By streamlining the pricing process, Retailgrid empowers retailers to make data-driven decisions that can adapt to market fluctuations and consumer behavior.
Description
With the rise of competition in the marketplace, retailers are grappling with the challenge of maintaining healthy profit margins amidst relentless downward pressure on prices. To thrive and steer clear of the detrimental race to the bottom, it is essential for retailers to enhance customer perceptions of pricing and the effectiveness of their promotions, all without drastically cutting prices. Dunnhumby conducts a thorough analysis of current strategies to pinpoint the most effective tactics for achieving success in this competitive landscape. This enables businesses to fine-tune pricing strategies that not only increase margins and profits but also enhance the performance of promotions while improving how customers perceive value. Navigating shifting customer pricing expectations is already a complicated endeavor, and when coupled with the necessity to meet commercial objectives, it becomes a daunting task. Dunnhumby Price empowers retailers with tools to strategically adjust prices and predict future outcomes effectively. By leveraging Customer Data Science, it suggests ideal base prices, thereby fostering customer trust, enhancing perceived value, and driving significant business results. Ultimately, this approach allows retailers to align their pricing strategies with customer expectations, paving the way for sustainable growth and success.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Commanders Act
No
FuseCommander
No
TrustCommander
No
Pricing Details
$349
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Retailgrid
Founded
2026
Country
Finland
Website
retailgrid.io
Vendor Details
Company Name
dunnhumby
Founded
1989
Country
United Kingdom
Website
www.dunnhumby.com/retailers/price-promotions/
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
No
Forecasting
No
Market Analysis
No
Multi-Store Management
No
Price List Management
No
Price Optimization Automation
No
Pricing Analytics
No
Profitability Analysis
No
Scenario Planning
No
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
No
Forecasting
Yes
Market Analysis
No
Multi-Store Management
No
Price List Management
No
Price Optimization Automation
Yes
Pricing Analytics
Yes
Profitability Analysis
No
Scenario Planning
No