12% → 3.5%
Inventory Wastage Reduction
AI-Driven Supply Chain Optimisation for a Consumer Goods Company
客户简介
The client was a prominent mid-market consumer goods company, operating within the fast-moving consumer goods (FMCG) sector across a complex Southeast Asian distribution network. Characterised by a diverse product portfolio and significant regional reach, the company faced a persistent challenge with 12% annual inventory wastage, directly impacting profitability and operational efficiency. Its established market presence and scale underscored the urgent need for sophisticated supply chain enhancements to sustain growth and competitive advantage.
面临的挑战
The core challenge stemmed from an outdated demand forecasting methodology, heavily reliant on simplistic spreadsheet models and historical averaging, which proved inadequate for the dynamic consumer markets of Southeast Asia. This approach created substantial discrepancies between projected and actual demand, leading to chronic overstocking in some geographical markets and detrimental stockouts in others. Crucially, the absence of real-time visibility across the distributed supply chain meant critical decisions were often made on stale or incomplete data, hindering agile responses to market shifts and jeopardising product availability and customer satisfaction.
我们的方法
Nirji initiated a multi-phased approach, beginning with a comprehensive diagnostic of the client's existing supply chain architecture and data infrastructure. The team then designed and deployed an advanced AI-powered demand forecasting engine, meticulously integrating it with the client's legacy Enterprise Resource Planning (ERP) system to ensure seamless data flow and operational continuity. Concurrently, Nirji developed and implemented real-time, interactive dashboards, providing end-to-end supply chain visibility from raw material sourcing to last-mile distribution. A critical workstream involved the fundamental redesign of the Sales and Operations Planning (S&OP) process, establishing new governance frameworks and collaborative mechanisms between sales, marketing, and operations teams to embed data-driven decision-making.
交付的解决方案
The engagement culminated in a substantial transformation of the client's supply chain operations. Inventory wastage was dramatically reduced from 12% to a mere 3.5%, reflecting a significant improvement in stock management efficiency. Demand forecast accuracy improved markedly, achieving a consistent 91%, which directly enabled more precise production planning and procurement. These improvements collectively generated an estimated $4.2 million in annual cost savings, primarily through optimised inventory holding costs, reduced spoilage, and more efficient distribution logistics, thereby significantly enhancing the client's profitability and operational resilience.
所有可衡量的成果
12% → 3.5%
Inventory Wastage Reduction
91%
Forecast Accuracy
$4.2M
Annual Cost Savings
"The AI forecasting system delivered by Nirji paid for itself within the first quarter. This has been truly game-changing for our operations, a testament to their deep analytical capabilities and practical expertise. — Supply Chain Director"
Have a Similar Challenge?
Let's discuss how Nirji can help you achieve similar results.
Discuss a Similar Engagement