Celes
Celes provides an AI-driven supply chain platform for Latin American retailers, forecasting demand for every SKU in every store daily and automating inventory flow from supplier to shelf. The platform trains individual machine learning models for each product-store combination and integrates as an AI layer over existing ERP, WMS, and POS systems without requiring migration. Its Autopilot feature lets retailers define autonomy levels, executing routine decisions automatically while routing exceptions to human planners.
- Logistics & Supply Chain
- Retail Technology
- Artificial Intelligence
- Software Only
Funding
Raised to date
$9MRaised 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.
across 3 rounds
+10$5M · Series A
Announced Oct 2026
Disclosed cumulative: $9M
Founders
Founder details are not available yet.
Product
Problem
Retailers in Latin America struggle with demand forecasting and inventory replenishment using manual spreadsheets and rigid ERP modules, leading to frequent stockouts, excess inventory, and product shrinkage. Traditional planning tools rely on historical averages and fixed rules, failing to capture local seasonality, promotions, and store-level demand variability.
Solution
Celes provides an AI-driven supply chain platform that forecasts demand for every SKU in every store on a daily basis and automates the flow of inventory from supplier to shelf. The platform trains individual machine learning models for each product-store combination, incorporating sales history, promotions, weather, holidays, and seasonality, with daily retraining. It generates replenishment orders from distribution centers to stores and purchase orders to suppliers, respecting capacity, logistics constraints, MOQs, and lead times. Celes integrates natively as an AI layer over existing ERP, WMS, and POS systems without requiring system migration. Its Autopilot feature lets retailers define autonomy levels, automatically executing routine decisions within set limits while routing exceptions to human planners.
Target Audience
Primary customers are large retail chains operating across Latin America, including grocery, consumer goods, and multi-format retailers in Mexico, Colombia, Ecuador, Chile, and Argentina, who need to automate demand planning and inventory replenishment across hundreds or thousands of stores.
Features
- Store-level, SKU-level, and day-level demand forecasting with machine learning models trained on sales, promotions, weather, holidays, and local events, achieving over 95% forecast accuracy versus 60-70% for traditional ERP modules
- Automated distribution center-to-store replenishment orders that respect capacity, logistics presentations, and dispatch frequencies, plus inter-store transfers to relieve overstock
- Purchase order generation incorporating network-wide forecasts, MOQs, lead times, and volume discounts, with CelesLink enabling supplier collaboration on the same forecast
- Autopilot execution engine with configurable autonomy levels (suggest, approve, execute), order limits, maximum coverage days, human review of exceptions, and full decision logging
- Native integrations with SAP, Oracle, Dynamics, Siesa, and other ERP, WMS, and POS systems, functioning as an AI layer without replacing existing infrastructure
- Implementation in 3–6 months with direct support from Celes' team and a dedicated Customer Success Manager post-launch