This is our story of leveraging supply chain management analytics, Artificial Intelligence (AI)-driven market sensing, and robust visibility and reporting frameworks to optimize inventory and the supplier network for a leading frozen foods company.

As we know…

Consumer Packaged Goods (CPG) companies encounter significant challenges in managing demand variability, presenting a landscape of complexities unparalleled in other industries. Organizations require accurate assessments to evaluate demand / supply risks, balance inventory levels and navigate the pitfalls associated with the proliferation of costly ingredients.

For sustainable revenue and a competitive edge, CPG companies must invest in supply chain analytics solutions to elevate forecasting accuracy, mitigate risks and future-proof operations.

The client grappled with a vicious cycle of challenges …

To break this cycle of challenges, WNS stepped in as a strategic advisor and co-creation partner…

Collaborating with internal teams (R&D, procurement) and external stakeholders (suppliers, third-party providers). We leveraged our supply chain data analytics capabilities to develop a tailored, ecosystem-enabled solution.

Our approach involved co-creating a framework for supply chain inventory optimization and laying out a charter for forecast accuracy improvement by infusing supply market intelligence. We deployed our AI-enabled 360-degree risk intelligence platform, which included a reporting and visibility layer comprising a front-end data visualization tool for scorecards and dashboards.

Critical aspects of the comprehensive solution included :

Demand Forecasting

  • Predicted accurate future customer demand for Stock-keeping Units (SKU) using an effective combination of qualitative and quantitative data
  • Developed next-generation demand-supply and inventory dashboards to monitor Key Performance Indicators (KPI) at a monthly level, such as forecast accuracy percentage, production volumes and parts availability, among others

Risk Monitoring & Early Warning

  • Leveraged an AI-driven continuous risk monitoring platform, tracking financial, operational, legal / ethical, human and environmental risks
  • Provided quarterly risk briefings to senior category managers and the Chief Procurement Officer to apprise them of the evolving risk landscape

SKU Ingredient Rationalization

  • Identified opportunities for cash savings, reducing / harmonizing ingredient specifications and streamlining the supplier count using AI-driven SKU and Bill of Materials (BOM) rationalization

Inventory Optimization

  • Determined the optimal stock levels for multiple nodes in a multi-echelon network (considering cost and service level constraints) through a dynamic inventory optimization algorithm. This algorithm is capable of adapting to changing demand patterns and lead times

Manufacturing Scorecards

  • Provided visibility into manufacturing site performance across various KPIs with manufacturing scorecards – encompassing safety, quality, production, customer service, finance and sustainability

The end-to-end supply chain optimization enabled the client to…

Streamline suppliers, identify potential risks and respond to market demands promptly and cost-effectively. Establishing KPIs and scorecards empowered leaders to take informed actions for improved operations.

Tangible outcomes included:



in annual savings through a



reduction in ingredients and supplier base consolidation (to less than 10 suppliers)




enhancement in material availability, attributed to consistent deliveries of required raw materials




worth of inactive inventory identified through inventory analysis




improvement in capacity across plants, driven by enhanced performance visibility from manufacturing scorecards

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