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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

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 

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