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Wasteless

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Description

Automated monitoring and notifications for price alterations ensure you stay informed. Utilize a unified platform to oversee all performance metrics seamlessly. In-depth analytics assist you in identifying lucrative market prospects. An AI-driven repricing solution tailors an optimal approach specifically for your needs. Relevant pricing information is conveniently delivered in a structured feed format. Employ sorting options and filters to gain thorough perspectives on your competitors’ pricing strategies. Effortlessly match countless products and evaluate them based on selected criteria. Each product is accompanied by comprehensive statistics showcased on an intuitive dashboard. With our rule-based repricing software, you can eliminate uncertainty by making informed pricing choices that give you an edge over rivals. The tool offers extensive customization, allowing you to establish your own criteria for top-selling items and other product categories. Discover which retailers stock the item and obtain organized data in spreadsheet format. Our catalog tracking feature reveals the fluctuations in reseller inventory over specified timeframes. Additionally, you can modify prices based on the availability of products, considering both your inventory and that of your competitors. This capability enables you to remain competitive in a dynamic market environment.

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.