Case Study

AI-Driven Supply Chain Optimisation for a Consumer Goods Company

Client Profile

A mid-market FMCG company with distribution across Southeast Asia experiencing 12% annual inventory wastage.

The Challenge

Demand forecasting relied on spreadsheets and historical averages. No real-time visibility across the supply chain, leading to overstocking in some markets and stockouts in others.

Our Approach

Nirji deployed an AI-powered demand forecasting engine integrated with the existing ERP, built real-time dashboards for supply chain visibility, and redesigned the S&OP process.

Solution Delivered

Reduced inventory wastage from 12% to 3.5%, improved forecast accuracy to 91%, and generated $4.2M in annual cost savings through optimised procurement and distribution.

Measurable Outcomes

12% → 3.5%

Inventory Wastage Reduction

91%

Forecast Accuracy

$4.2M

Annual Cost Savings

"The AI forecasting system paid for itself within the first quarter. Game-changing."

How This Connects to Our Broader Practice

This engagement exemplifies how Nirji Ventures integrates multiple capabilities to deliver end-to-end results. Companies facing similar challenges often benefit from our investment banking practice for capital transactions, business transformation consulting for operational improvements, and financial advisory for structuring and governance.

For companies expanding internationally, our global expansion advisory provides market entry support across 30+ countries. Early-stage ventures can explore our startup consulting practice for strategic guidance from pre-seed through Series B.

Browse our insights library for research and frameworks on growth strategies, funding stages, investor evaluation criteria, and exit planning. View all case studies to see more examples of our work.

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