12% → 3.5%
Inventory Wastage Reduction
AI-Driven Supply Chain Optimisation for a Consumer Goods Company
클라이언트 프로필
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.
당면 과제
The core challenge stemmed from an outdated demand forecasting methodology, heavily reliant on simplistic spreadsheet models and historical averaging, which proved inadequate for the dynamic consumer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.
우리의 접근 방식
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.
제공된 솔루션
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.
모든 측정 가능한 성과
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"
이 사례가 우리의 광범위한 업무와 어떻게 연결되는가
이 프로젝트는 Nirji Ventures가 여러 역량을 통합하여 포괄적인 결과물을 제공하는 방식을 보여줍니다. 유사한 문제에 직면한 기업들은 복잡한 의사 결정을 위한 당사의 전략 자문 업무, 운영 개선을 위한 비즈니스 변혁 컨설팅, 구조화 및 거버넌스를 위한 재무 컨설팅으로부터 종종 혜택을 받습니다.
국제적으로 확장하는 기업을 위해 당사의 글로벌 확장 자문은 30개 이상의 국가에서 시장 진입 지원을 제공합니다. 초기 단계 벤처 기업은 시드 이전부터 시리즈 B까지의 전략적 지도를 위해 당사의 스타트업 컨설팅 업무를 탐색할 수 있습니다.
성장 전략, 자금 조달 단계, 투자자 평가 기준 및 출구 전략에 대한 연구 및 프레임워크는 당사의 인사이트 라이브러리를 참조하십시오. 당사 업무의 더 많은 사례를 보려면 모든 사례 연구를 확인하십시오.
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