platoseedplatoseed
AI-powered forecasting & replenishment for grocery
Guac accurately forecasts grocery demand to help supermarkets order and produce the right amount of inventory — reducing food waste and increasing availability.
Guac provides AI-powered demand forecasting and replenishment tailored for grocery retailers, focusing on forecasting sales at the SKU-store level and turning those forecasts into ordering and production planning recommendations. The platform emphasizes fresh-first forecasting to reduce waste and improve product availability.
Guac forecasts demand for every SKU at every store using an proprietary AI algorithm that incorporates hundreds of local data points (e.g., weather, events, demographics, promotions, social trends). The forecasts feed into store ordering, DC allocation, DC buyer ordering, commissary production planning, and store production planning to generate concrete recommendations for ordering quantities, production scheduling, and allocation across channels.
Who it’s for: Grocery retailers and chains with multiple departments (meat, seafood, bakery, produce, deli) seeking AI-based forecasting and replenishment specifically optimized for fresh grocery.
Hiring/traction mentions not explicitly stated; references to multiple deployment modules and request a demo imply product-market traction
Co-Founder & CEO of Guac. Passionate about tackling food insecurity & waste with technology!
Co-Founder and CTO of Guac. ML engineer working to make grocery retail more efficient.
Hyper-accurate demand forecasting for supermarkets
Guac uses machine learning with 230+ external variables to predict daily, store-level grocery demand for each SKU, aiming to reduce waste by optimizing inventory orders. The product targets grocers and integrates into existing ordering workflows, with a focus on reducing spoilage and aligning stock with expected demand.
From the original launch (Jul 2023) — may be outdated.
All-in-One Software for the $1T Grocery Industry
Distribution at the Speed of Compute
