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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
API Access
Has API
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Integrations
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Integrations
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Pricing Details
$349
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Competing Product Analysis
Forecasting
Market Analysis
Multi-Store Management
Price List Management
Price Optimization Automation
Pricing Analytics
Profitability Analysis
Scenario Planning
Product Features
Automatic Replenishment Systems
Counting by Exception
Customer Management
Financial Management
Inventory Management
Nice Shelf Stocks
On-order Information
Sales Anticipation
Store Order Leveling
Zero Turnover Checks
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
