Wasteless Description

We help supermarkets and online grocery shops to recover the full value and reduce food waste by using AI-powered dynamic pricing. The Wasteless pricing engine is designed to adapt to the buying habits and mindsets of your customers, pushing AI to the limits to provide the best shopping experience and maximize profit. Find out how it works. Matching product offerings to real-time demand will increase sales. Sell at the lowest price possible with minimal shrinkage. Rotate products more quickly to maintain shelf freshness. Make sure products are sold before expiring and go to waste. Wasteless's pricing engine uses reinforcement learning, a branch in machine learning that aims to maximize revenues and reduce waste. This allows our engine quickly to learn how consumers react to dynamic pricing and then to determine the best discounting policy.

Integrations

No Integrations at this time

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
Wasteless
Headquarters:
Israel
Website:
www.wasteless.com
Update This Listing

Media

Recommended Products
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free

Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Training Videos
Customer Support
Online Support

Wasteless Features and Options

Pricing Optimization Software

Channel Analysis
Competing Product Analysis
Forecasting
Market Analysis
Multi-Store Management
Price List Management
Price Optimization Automation
Pricing Analytics
Profitability Analysis
Scenario Planning

Wasteless User Reviews

Write a Review
  • Previous
  • Next