Deep, executive-level tracks on applying data and AI across the beverage business — beer, wine, whiskey, mead and the fast-growing non-alcoholic segment — from the production floor to the boardroom. Pick a track:
- Commercial Planning Analytics — portfolio, pricing, promo, S&OP, route-to-market, and lager sales blueprints by channel.
- Sales Intelligence — depletions, account scoring, distributor management, churn, and channel sales blueprints (distributor, off- and on-premise, national accounts, e-commerce).
- Marketing — segmentation, mix modeling, attribution, and the sober-curious consumer.
- Financial Planning & Analytics — COGS, driver-based forecasting, margin bridges, cost-to-serve, and co-packing economics.
- ESG & Sustainability — energy, water, carbon (Scope 1/2/3), packaging, circular economy, GenAI reporting, and the UK, EU, US and India rules.
- EHS — predictive safety, hazard mapping, compliance, and food safety.
- Sales Forecasting — maturity model, seasonality, promo lift, accuracy, and honest limits.
- Brewing Science & AI — malt, water, hops, wort, yeast, fermentation, packaging and QC, plus Excel brewing calculators, IoT on the line, and contract-brewing analytics.
- Distilling & Maturation — cut points, new-make spirit, the angel’s share, cask selection, blending, bottling maturity, and warehouse IoT.
- Winemaking & AI — grape ripeness and harvest timing, vineyard yield, fermentation, wine faults, blending, and precision viticulture.
The cross-cutting toolkit — every track draws on the same building blocks, applied to beer, whiskey and wine: data platforms (Microsoft Fabric, Databricks, Snowflake), the Claude & ChatGPT ecosystem, IoT sensors, AI-adoption roadmaps, and Excel calculators for the brewhouse.
Prefer the personal story? Start with the From Brewer to AI series.