A US refrigeration equipment manufacturer manages temperature monitoring across more than 2,500 retail stores manually. The approach drove high equipment downtime, escalating maintenance costs, and left the client unable to control business-critical operations remotely. Altimetrik built a SaaS store monitoring platform with multi-site control, real-time temperature tracking, and detailed alarm/activity history. It added secure role-based remote diagnostics and CRM integration that auto-generates work orders from business rules, replacing manual monitoring with centralized, data-driven operations across the store estate.

A Fortune 100 manufacturer was losing product and revenue to refrigeration equipment failures across a massive global cold chain fleet. Scarce technicians, long container waits at dock locations, and $150B industry-wide food waste annually made reactive monitoring untenable. Altimetrik co-created a Microsoft Azure cold chain solution that processes data from 100,000+ global containers using predictive algorithms across 40+ factors and 10 alarm types, enabling real-time intervention to prevent spoiled shipments.

A leading machine tools and textile machinery manufacturer needed to meet growing customer demand for greater automation, driven by operator skill gaps and the need to reduce labour dependency. At the same time, competitors were differentiating their offerings by embedding AI/ML capabilities directly into their machines.
Altimetrik helped the manufacturer define and execute an enterprise-wide AI strategy, beginning with an AI readiness assessment, competitor benchmarking, and use-case prioritization. This was translated into an actionable roadmap across data, technology, and talent, followed by the deployment of edge AI solutions across its machine tool and textile machinery portfolios and a GenAI-powered intelligent service centre.