Guac builds AI-powered forecasting and replenishment software for fresh grocery operations. Its proprietary model ingests internal and external signals, then turns item-level sales forecasts into ordering and production recommendations. The company says customers have cut food waste by 38 percent and increased sales by 3 percent.
Co-Founder & CEO
Co-Founder & CTO
Guac primarily focuses on the grocery and food retail industry, specifically providing AI-powered demand forecasting and replenishment solutions for fresh grocery items.
Multiple revenue streams include marketplace commissions, enterprise partner revenue, and subscriptions.
Guac's main competitors in the market of AI-powered demand forecasting and replenishment solutions for fresh grocery items include:
Aravita: Specializes in optimizing fresh food operations for the retail sector using AI. It focuses on reducing overstocking and waste while enhancing decision-making processes to maximize profitability.
RELEX: Offers a unified platform for supply chain and retail planning, helping retailers optimize their planning across demand, merchandise, supply chain, and operations. This approach aims to maximize customer satisfaction and minimize operational costs.
Afresh: Concentrates on grocery retail, providing AI-powered solutions for ordering, forecasting, and store operations. Its technology is designed to improve efficiency, reduce food waste, and enhance profitability in managing perishable inventory.
Shelf Engine: Provides grocery technology aimed at reducing food waste and increasing sales for retailers through forecasting and automated ordering solutions, helping grocery stores manage their inventory effectively.
IDA: A digital agency that focuses on e-reputation and digital transformation, offering services distinct from the food optimization focus of Guac and its other competitors.
Notable differences include the specific market focus and technological solutions offered by each competitor, with Guac primarily targeting fresh food operations and leveraging AI for optimization.