Bespoke Solutions Supply Chain Case Study

From Guesswork to 91% Accuracy: How a Custom AI Platform Transformed an Automotive Supplier's Forecast

In the world of just-in-time automotive manufacturing, inaccuracy is expensive. A major automotive parts supplier was struggling with this reality, relying on traditional statistical models that failed to account for market volatility, leading to inaccurate demand forecasts. To compensate, the company was forced to carry excess inventory, tying up capital and incurring huge warehousing costs. Warehouse teams, lacking modern tools, relied on slow and error-prone manual processes, jeopardizing delivery schedules.

The Solution: A Custom-Built Intelligent Supply Chain Platform

A comprehensive, bespoke solution was engineered from the ground up, combining custom AI with modern web and mobile applications. While established supply chain solutions from providers like Kinaxis offer powerful planning tools, they often use generic forecasting modules. This platform’s key advantage lies in its AI models, which were custom-built to interpret the complex signals of the automotive industry, from OEM production schedules to tier-1 supplier data.

The bespoke platform delivered significant and measurable improvements, creating a more predictive, efficient, and resilient supply chain.

91% Demand Forecast Accuracy:

A massive leap in accuracy that far exceeds the industry standard of 70-85%, allowing for much leaner operations.

35% Inventory Reduction:

Highly accurate forecasts eliminated the need for excess buffer stock, freeing up working capital and lowering carrying costs.

45% Improvement in Warehouse Efficiency:

The AI-powered mobile app streamlined picking, packing, and put-away processes, enabling faster turnaround times.