Delivery Date Reliability Analytics for SPM Manufacturer
An MNC manufacturer of Special Purpose Machines (SPM) for the process industry wanted to move away from gut-feel delivery promises. Fattah implemented an analytics layer on top of their historical orders, production and dispatch data so sales could commit only to dates that operations could reliably meet.
Context
The Challenge
Sales was under pressure to close complex SPM deals and routinely promised aggressive delivery dates without a consolidated view of how long similar machines had taken in the past. Production lead times varied by configuration, supplier readiness and shop-floor loading. The ERP contained the data, but not in a form that could be queried in real time by sales. Finance also struggled to forecast cash inflows because delivery slippages pushed invoicing and payment collection into the next quarter.
Execution
The Fattah Solution
We designed and deployed a delivery analytics mart on top of the client’s existing ERP and production planning systems. Historical orders were profiled by machine type, configuration complexity, supplier dependency and routing through the plant. Using this curated dataset, we built a delivery promise engine that suggested realistic delivery windows based on historical performance bands and current WIP. On top of this, we exposed interactive dashboards for sales, production planning and finance so that committed delivery dates, expected invoicing milestones and projected cash flows were aligned across teams.
Engineering Stack
Technologies utilized to architect the secure, high-performance solution.