
Problem statement
Our client, a global CPG leader in the food and beverage industry, struggled to capture accurate demand signals from over 100 local and global distributors, each with varying levels of data and analytics maturity. This fragmented distributor landscape led to inconsistent inputs, resulting in unreliable demand planning and forecasting. As a result, the client faced significant operational inefficiencies — weekly demand forecast accuracy was off by 30–45%, inventory holding costs were inflated by up to 15%, and order fulfillment rates were pushed nearly 10% below industry benchmarks.
Attempts to deploy off-the-shelf forecasting tools failed. These solutions could not accommodate the client’s complex workflows, multi-channel order systems (SAP, email, non-traditional portals), or the needs of key internal stakeholders orchestrating the supply chain. The lack of a unified, dynamic planning approach exacerbated the gaps, leading to frequent stockouts, surplus inventory, and missed sales opportunities — with distributor data compliance rates dropping below 70%.
Impact
- $32M savings unlocked through excess inventory reduction in the first year of solution deployment.
- 14-17% reduction in out-of-stock scenarios achieved across three core product categories.
- Delivered agile production planning with a solution that adapts to weekly market changes.
Access the Case Study to Learn More about This Partnership

Assortment Planning Tool
Assortment planning powered by data and analytics can help CPG companies strategically curate their product offerings based on consumer preferences.
Read more
Control Tower for Strategic Decision-Making
MathCo built an executive dashboard for a biopharmaceutical major to maximize adoption and drive data-powered decision-making at scale.
Read more
Enhancing Sales Effectiveness through Next Best Action Recommendation
Learn how MathCo helped sales representatives enhance efficiency with a RepGPT-powered insights app, optimizing store visits by 15%, refining product recommendations, and improving negotiations. Our AI-driven recommendations boosted productivity, empowered smarter decision-making, and drove better sales outcomes.
Read more