Every FMCG company sits on a goldmine of data, yet most treat it like a landfill. From supplier spreadsheets and production metrics to emissions disclosures and market forecasts, the sheer volume of information has outgrown the systems meant to manage it.

The result is data chaos, endless reconciliation, slow decisions, and a growing sense that despite investing millions in systems, nobody really knows what’s going on.

Data Volume Isn’t the Problem

FMCG operations generate petabytes of information daily, but the issue isn’t how much you have; it’s how disconnected it is. Procurement has one source of truth, then sustainability has another, and finance tracks suppliers in yet another tool.

The people who need answers spend 80% of their time trying to find and clean data, and only 20% actually analysing it. That ratio simply isn’t sustainable.

AI Is Quietly Fixing the Mess

AI-driven data platforms are changing how leading FMCG firms operate. They’re using intelligent ingestion models to pull structured and unstructured data from dozens of sources, from SAP and Oracle systems to scanned supplier PDFs, and unify it into one clean, trusted dataset.

Once clean, the data becomes usable for everything from ESG reporting to real-time supply chain analysis. No more manual merging and no more late-night Excel marathons.

From Chaos to Clarity and Confidence

When data stops being a manual task and becomes a strategic asset, teams make faster, smarter decisions:

• Operations see bottlenecks in real time.

• Sustainability teams track supplier performance with confidence.

• Finance finally has one live picture of cost and risk.

It’s not about collecting more data; it’s about making what you already have work harder.

The FMCG sector has always been defined by speed, and now it’s time for your data to catch up.

Explore how GaiaLens’ AI tools are helping FMCG leaders unify and clean data at scale.