Kigüi utilizes machine learning to analyze supply chain data and predict near-expiration products, enabling supermarkets to implement targeted promotions such as cash back and discounts. This approach significantly reduces food waste while increasing sales and enhancing inventory management efficiency.
Funding
$252K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Supermarkets face challenges in efficiently managing inventory and minimizing food waste due to products nearing their expiration dates. Traditional methods often lead to significant losses and reduced profitability.
Solution
Kigüi offers an AI-powered platform that analyzes supply chain data to predict near-expiration products, enabling supermarkets to implement targeted promotions. The platform optimizes deliveries, predicts expiring batches, and suggests actions such as discounts, cashback, or donations. By digitizing promoter activities and expiration date management, Kigüi helps businesses reduce waste, increase sales, and improve inventory management. The cloud-based SaaS model allows for easy implementation without requiring integration with existing systems.
Target Audience
Kigüi primarily targets food suppliers and retailers, specifically supermarkets, seeking to reduce food waste, improve inventory management, and increase sales.
Features
- Machine learning algorithms for predicting product expiration dates based on supply chain data.
- Optimization of deliveries per store based on data analysis.
- Task assignment to in-store promoters for managing near-expiration products.
- Recommendation of profitable actions, including discounts, cashback, and donations.
- Digitalization of promoter activities with alerts and recommendations.
- Cloud-based SaaS model for seamless setup and operation.
- Inventory optimization to maximize sales and minimize waste.
- Direct cashback promotions to consumers for surplus food.