DuitLabs welcomed Jim Norred to the Advisory Board, who has spent 30+ years in retail, CPG, and technology.

Every CPG brand gets retailer data. Very few turn it into intelligence they can act on. The gap isn't the data — it's what happens after. The largest CPGs spend tens of millions on data science teams to model demand, detect anomalies, and optimize execution. Everyone else is left reconciling spreadsheets and reacting to problems after they've already hit the shelf. DuitLabs closes that gap. We ingest first-party retail data — store-level sell-through, inventory positions, on-shelf availability, retailer demand forecasts — and enrich it with external signals like hyper-local weather, event calendars, and macroeconomic indicators. Our purpose-built ML models fuse these sources into a unified demand picture that's significantly more accurate than any single feed alone. The result: S&OP cycles that used to take three weeks now take five days. Phantom inventory and chargeback leakage surface automatically. Field teams walk into meetings with data that earns the conversation. We serve mid-market CPG brands across food, beverage, household, and personal care — companies with enough scale to have real retail complexity, but not enough headcount to build this in-house. Not just leveling the playing field — upleveling it.