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
Often carried out at a category level, a financial plan acts as a foundational reference and a basis for developing other strategic plans. This comprehensive plan incorporates the essential features needed to create a long-term budget as well as forecasts for sales, gross margin, inventory turnover, and other crucial key performance indicators (KPIs). Users have the capability to evaluate and approve figures at various management levels, thereby establishing financial objectives for the upcoming year or multiple seasons. This plan relies on a long-term demand forecast and leverages the insights generated by Retalon’s predictive analytics engine, which analyzes historical sales data, including factors such as lost sales, promotional activities, price adjustments, seasonality, and market trends, to assist users in planning future sales, inventory quantities, and receipts. Additionally, this module empowers users to determine optimal initial pre-allocation quantities while considering the specific needs of each location, plan-o-gram limitations, desired product assortments, inventory availability, and relevant business rules. Ultimately, this structured approach to financial planning streamlines the decision-making process and enhances overall organizational efficiency.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Retailgrid
Founded
2026
Country
Finland
Website
retailgrid.io
Vendor Details
Company Name
Retalon
Founded
2002
Country
Canada
Website
retalon.com/solutions
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
Automatic Replenishment Systems
Counting by Exception
No
Customer Management
No
Financial Management
No
Inventory Management
No
Nice Shelf Stocks
No
On-order Information
No
Sales Anticipation
No
Store Order Leveling
No
Zero Turnover Checks
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No