Case Study: Reddy Ice cuts stockouts 50% and boosts delivery productivity 20% with John Galt Solutions’ Atlas Planning Platform

Reddy Ice Uses Atlas & IoT Data to Autonomously Respond to Customer Demand

Reddy Ice faced inflexible, centrally scheduled deliveries and decentralized, manual planning processes that relied on resource‑intensive spreadsheets. These issues led to low customer satisfaction, with 20% of deliveries arriving late, 40% unnecessary, plants struggling to meet demand, and delivery teams distracted by planning problems. To address this, Reddy Ice partnered with John Galt Solutions and implemented the Atlas Planning Platform.

John Galt Solutions deployed Atlas to centralize and automate demand planning using near‑real‑time inputs from drivers, weather, POS, RMS orders, and an IoT pilot that reports icebox levels every 30 minutes. Atlas now re‑plans daily and automates replenishment decisions (frequency, quantity, routes), which reduced customer stockouts by 50%, boosted delivery productivity by more than 20%, and increased sales by 20% while minimizing delayed shipments and unnecessary deliveries.

Reddy Ice

Grant Daniel

Director of Delivery Optimization