The full timeline — newest first.
2026
- — Where Your Extract, Water and Energy Go: Sankey and the Brewhouse Balance
- — Shelf-Life Trajectories: Visualizing Forced-Ageing and Flavour Stability
- — SPC That Actually Catches Drift: Capability, CUSUM and EWMA for Brewers
- — True-to-Target: Visualizing Whether a Batch Matches Its Brand Profile
- — Beyond the Control Chart: Data Visualizations Brewers Underuse
- — Vibe-Coding a Fermentation Tracker: A Brewer's Build Log
- — What Claude Fable 5 Changes for Brewers Who Build
- — Vibe-Coding a Brewing Tool with Claude Fable 5
- — Generative and Human-Centred AI for Brewers (with Google's PAIR Guidebook)
- — Your First Machine-Learning Model on Brewing Data (Free Courses)
- — Foundations First: Data Literacy and Python for Brewers (Free Resources)
- — A Brewer's Step-by-Step Roadmap into AI (with Free Resources)
- — The Translator: When the Winemaker Is Also the Power BI Developer
- — The Translator: When the Brewer Is Also the Power BI Developer
- — Why Power BI Dashboards Die in Wineries: The Domain Gap
- — Why Power BI Dashboards Die in Distilleries and Breweries: The Domain Gap
- — Descriptive, Diagnostic, Predictive, Prescriptive: The Four Analytics in a Winery
- — Descriptive, Diagnostic, Predictive, Prescriptive: The Four Analytics in a Distillery
- — Where a Distillery Actually Starts with AI
- — The Heat Map in Brewing: Three Beer Use Cases
- — The Box Plot in Brewing: Three Beer Use Cases
- — The Histogram in Brewing: Three Beer Use Cases
- — The Bubble Chart in Brewing: Three Beer Use Cases
- — The Scatter Plot in Brewing: Three Beer Use Cases
- — The Area and Stacked Area Chart in Brewing: Three Beer Use Cases
- — The Combo (Line + Bar) Chart in Brewing: Three Beer Use Cases
- — The Line Chart in Brewing: Three Beer Use Cases
- — The Treemap in Brewing: Three Beer Use Cases
- — The Pie and Donut Chart in Brewing: Use It Sparingly (Three Cases)
- — The Stacked Bar Chart in Brewing: Three Beer Use Cases
- — The Grouped Bar Chart in Brewing: Three Beer Use Cases
- — The Bar Chart in Brewing: Three Beer Use Cases
- — AI vs Machine Learning vs Generative AI: Which Is Which in the Distillery
- — What Is Generative AI? The Difference That Matters for Distillers
- — What Is Machine Learning? Pattern-Finding for the Distillery
- — What Is AI, Really? A Distiller's Plain-Language Guide
- — How to Tell a Good AI Answer from a Confidently Wrong One
- — Ten Prompts from the Brewery Floor: Bad Ask → Good Ask
- — A Brewer's Map of Their Own Data — and What Each Source Can Actually Answer
- — The Beginner Brewer's Cheat Code: Ask AI What You Should Be Asking
- — You Don't Have an AI Problem, You Have a Question Problem
- — From Pilot to Full Scale: The NPD Data Problem Nobody Warns You About
- — Can Claude Opus 4.8 Help You Brew a Better IPA? A Hop-Forward Workflow
- — Predicting Beer Flavour by Stacking Malt Flavour Wheels
- — Crunching Recipe and Sensory Data: How I Sped Up Beer Development
- — Yeast Pitching Rates and Starters in Excel
- — Sustainable Drinks in the USA: EPA, State Programs and TTB
- — Sustainable Drinks in the UK: SECR, EPR and the Data Behind Compliance
- — Sustainable Drinks in India: BEE, CPCB and Water Norms
- — Sustainable Drinks in the EU: CSRD, EU ETS and Packaging (PPWR)
- — A Sustainability Data Roadmap for Beverage Producers: The Phases
- — Turning Spent Grain, Pomace and Draff into Value with Data
- — Predicting When Malt Is Modified Enough to Kiln
- — Predicting Slow Runoff From the Malt Before It Reaches Your Mill
- — Cutting Packaging Footprint: Glass, Can and Keg Emissions with Data
- — Mash Water and Temperature Calculator in Excel
- — IoT in the Winery: Sensors from Vineyard to Bottle
- — IoT in the Distillery: Sensors from Mash to Cask
- — IoT in the Brewery: Sensors at Every Step, from Mash to Package
- — Build an IBU Recipe Builder in Excel (Tinseth, Multi-Addition)
- — Generative AI for Sustainability SOPs, Training and Audits
- — A Generative-AI Copilot for Reading Malt Certificates of Analysis
- — Forecasting Mycotoxin and Gushing Risk in the Malthouse
- — Cold Chain and Distribution Emissions: Route and Refrigeration Analytics
- — Using Claude and ChatGPT to Draft Your CSRD and ESG Reports
- — A Carbonation Calculator in Excel: Priming Sugar, PSI and Line Balancing
- — By-Product and Circular-Economy Analytics for Drinks Producers
- — Build a Brewing Water Chemistry Calculator in Excel
- — Brewhouse Efficiency and Yield Reconciliation in Excel
- — Can AI Dial In the Perfect Steep for Malting Barley?
- — AI-Optimised Kilning: Hitting Colour and Diastatic Power While Cutting Gas
- — 20 Advanced Brewing Calculations You Can Do in Excel (Formulas Included)
- — Which Beer Should We Make Next? How I Let the Data Decide
- — What Should a Brewery Do With Spent Grain? Feed, Food, or Fuel by the Numbers
- — Brewers Stopped Saying No to AI — But the Real Win Isn't a LinkedIn Post
- — How to Vibe-Code a Product with Claude (It's a Loop, Not Magic)
- — Beyond Beer: Taking AI into Wine, Whiskey & Mead — Where I'm Headed Next
- — AI Won't Replace Brewers — Here's the Part Machines Can't Touch
- — Where AI Burned Me: Hallucinations, Bad Data, and Hype I Believed
- — My First Real AI Project: Forecasting Beer Demand — What Worked, What Flopped
- — Teaching Myself Data Science as a Working Brewer: The Honest Learning Path
- — Before You Touch AI, Collect Your Data: The Unglamorous First Step
- — What Does AI Actually Mean for a Brewer? (It's the Data Science You Already Do)
- — From Brewer to Data Scientist: Why I Traded the Brewhouse for AI (And Didn't Really Leave)
- — Mead Meets AI: Can the World's Oldest Drink Go High-Tech?
- — Can AI Write Tasting Notes for Beer, Wine & Whiskey?
- — Can AI Predict Whiskey Maturation and Cask Quality?
- — Can AI Predict Wine Quality Before the Harvest?
- — The Honest Limits of AI in Brewing: Hallucinations, Bad Data, and Wasted Money
- — Can AI Predict Beer Fermentation? What the Data Actually Shows
- — AI Quality Control in Brewing: Catching Off-Flavors Before Customers Do
- — Can AI Design a Beer Recipe? How Generative Models Brew
- — AI Demand Forecasting for Breweries: Useful, Until It Isn't
- — What Can AI Actually Do for a Brewery? 7 Real Use Cases
- — Can AI Write Your TTB Reports? Why You Must Check Every Number
- — Microsoft Fabric for Wineries: 20 Use Cases (and 3 Case Studies)
- — Co-Packing and Contract Brewing Analytics: Making Capacity Pay
- — CO2 Recovery and Refrigeration: Cutting Emissions and Cost
- — Lager Sales Blueprint: E-Commerce, Delivery and DTC
- — Microsoft Fabric for Distilleries: 20 Use Cases for Whiskey (and 3 Case Studies)
- — Lager Sales Blueprint: National and Key Accounts
- — A Safety Culture Built on Data, Not Surveillance
- — Lager Sales Blueprint: Winning On-Premise Tap Handles
- — Carbon Accounting for Beverage Producers: Scope 1, 2 and 3 with Data
- — The CFO's AI Dashboard: Real-Time Beverage Finance
- — Claude AI and Claude Code for Wineries: Where the Anthropic Ecosystem Helps
- — Microsoft Fabric for Breweries: 20 Use Cases (and 3 Case Studies)
- — Lager Sales Blueprint: Off-Premise Retail (Grocery, C-Store, Liquor)
- — CIP Optimisation: Saving Water, Chemicals and Energy with AI
- — Sales Rep Productivity: Coaching with Data, Not Gut
- — Snowflake Across the Winery Business, Vertical by Vertical
- — The Business Case: Linking ESG Metrics to Margin
- — How a Winery Should Start with AI and Gen AI: The Phases
- — Snowflake for Wineries: 20 Use Cases
- — Wastewater and Effluent Analytics for Breweries and Distilleries
- — AI-Generated Brand Content: Where It Helps and Where It Lies
- — Snowflake Across the Distillery Business, Vertical by Vertical
- — The Honest Limits of Sales Forecasting: When to Trust the Human
- — Snowflake for Distilleries: 20 Use Cases
- — Cutting Water Use in Brewing: The Water-to-Beer Ratio, with Data
- — The Commercial Control Tower: One View from Brewhouse to Shelf
- — Snowflake Across the Brewery Business, Vertical by Vertical
- — Claude AI and Claude Code for Distilleries: Where the Anthropic Ecosystem Helps
- — Snowflake for Breweries: 20 Use Cases
- — EHS Reporting Automation: From Paper Logs to Live Dashboards
- — Winery Energy: AI for Cooling, Presses and Peak Demand
- — Databricks Across the Winery Business, Vertical by Vertical
- — Capex with Analytics: When to Add a Tank or a Canning Line
- — Databricks for Wineries: 20 Use Cases
- — Claude AI and Claude Code for Breweries: Where the Anthropic Ecosystem Helps
- — Distillery Energy and Heat Recovery: Using Data to Cut Fuel and Power
- — Databricks Across the Distillery Business, Vertical by Vertical
- — Account Churn: Predicting Which Outlets Drop Your Brand
- — How a Distillery Should Start with AI and Gen AI: The Phases
- — Databricks for Distilleries: 20 Use Cases
- — Lager Sales Blueprint: Winning with Distributors
- — Avoiding Greenwashing: AI to Verify, Not Just Generate, Claims
- — Cutting Brewery Electricity Use with AI: Refrigeration, Compressors and Load
- — Databricks Across the Brewery Business, Vertical by Vertical
- — Launching a Non-Alcoholic Line: A Data-Driven Go-to-Market Playbook
- — Beer Sales Blueprints for Lager Breweries: Five Plays by Channel
- — Forecast Accuracy Metrics That Matter (and the Vanity Ones to Drop)
- — Making a Beer, Wine and Whiskey Business More Sustainable with AI and Data
- — Databricks for Breweries: 20 Use Cases
- — S&OP for Craft: An Analytics Playbook to Match Supply and Demand
- — How a Brewery Should Start with AI and Gen AI: The Phases
2025
- — Predictive Maintenance as a Safety Strategy
- — Working Capital: Cash Trapped in Inventory and Tanks
- — The Perfect Store, Audited by AI at Scale
- — Supply-Chain ESG: Tracing Barley and Hops to Source
- — Attribution: Connecting Spend to the Tap Handle
- — Cannibalization: Does Non-Alcoholic Beer Eat Your Lager's Sales?
- — Price-Pack Architecture for the Non-Alcoholic Beer Boom
- — Compliance Analytics: Never Miss an Inspection or Permit
- — Scenario Planning for Barley, Energy, and Aluminum Costs
- — On-Premise vs. Off-Premise Intelligence: Two Games, One Portfolio
- — Non-Alcoholic Beer as an ESG Story: Health, Moderation, and Data
- — Social Listening: Early Signals of the Next Flavor Trend
- — Hierarchical Forecasting: Reconciling SKU, Brand, and Total Volume
- — Route-to-Market Analytics: Channels for Beer vs. Non-Alcoholic Beer
- — Leading vs. Lagging Safety Indicators: What Breweries Should Track
- — Cost-to-Serve by Channel: Is Non-Alcoholic Beer Actually Profitable?
- — Managing Distributors with Data: From Black Box to Scorecard
- — Packaging Footprint: Glass vs. Can vs. Keg, by the Numbers
- — Personalization in Beverage DTC Without Creeping People Out
- — Promotional Lift: Separating Real Demand from Discount Noise
- — Trade Promotion Optimization: The 20% of Promo Spend That's Wasted
- — Food Safety and Traceability from Grain to Glass
- — Margin Bridge Analytics: Why Your Profit Moved
- — White-Space Analytics: Where Non-Alcoholic Beer Should Launch First
- — The ESG Reporting Stack: Automating CSRD and GRI Disclosure
- — Brand Equity Analytics: Measuring What Your Beer Stands For
- — Seasonality and Weather: Beer's Most Predictable Swings
- — Revenue Growth Management: The Five Levers AI Sharpens
- — The Brewery Hazard Map: CO2, Confined Spaces, and Controls
- — Driver-Based Forecasting: Beyond the Annual Budget
- — Account Scoring: Finding Your Next 100 Outlets
- — Carbon Accounting: Scope 1, 2, and 3 for Breweries
- — Marketing Mix Modeling: What Really Drives Beer Volume
- — Forecasting With No History: The Non-Alcoholic Beer Problem
- — From Volume to Value: Portfolio Strategy for Beer and Non-Alcoholic Lines
- — Predictive Safety Analytics: Spotting Risk Before Incidents
- — Cost of Goods per Hectoliter: The Number to Automate First
- — Depletion Data Decoded: From Distributor Reports to Action
- — Water Stewardship Analytics: Cutting Liters-per-Liter in Brewing
- — Segmenting the Sober-Curious: The Non-Alcoholic Beer Consumer in Data
- — The Beverage Demand Forecasting Maturity Model: From Spreadsheet to ML
- — The Integrated Commercial Plan: Where Breweries Leak Margin Between Sales and Supply
2024
- — AI for Distillery Energy and Spirit Yield
- — AI for Gin Botanical Extraction and Recipe Consistency
- — Computer Vision for Grape Sorting and Vineyard Disease Detection
- — Predicting Optimal Bottling Time and Maturity
- — AI for Whisky Blending and Vatting Consistency
- — Optimising Rackhouse Microclimate With AI
- — Building a Digital Tasting Program: Power Platform, ERP, and Gen AI
- — Predicting Congener Evolution During Maturation
- — AI for Wine Blending Optimisation
- — AI for Cask Selection and Maturing-Stock Inventory
- — Forecasting the Angel's Share: Modelling Cask Evaporation Loss
- — Predicting New-Make Spirit Flavour
- — Whiskey Tasting, Captured and Analysed: Power Apps, Power BI, and AI
- — Can AI Pick Distillation Cut Points (Heads, Hearts, Tails)?
- — Detecting Wine Faults Early: Brett, Volatile Acidity, TCA
- — Building a Brewery Data Foundation Before You Touch AI
- — AI + NIR Spectroscopy for Rapid Brewery QC
- — Predictive Maintenance for Brewery Process Equipment
- — Cutting Process Water and Effluent Load With AI
- — AI for Brewery Energy and Utilities (Steam, Refrigeration, CO2)
- — AI for Wine Fermentation Control (and Stuck Ferments)
- — Predicting Microbiological Risk and Hygiene Hotspots
- — Wine Tasting Meets the Data Stack: AI, Power BI, and ERP
- — AI-Optimised CIP: Cleaning With Less Water, Chemical, and Time
- — Reducing Packaging Material Waste With AI
- — Predictive Maintenance for Fillers and Seamers
- — AI for Vineyard Yield Forecasting
- — Minimising Total Package Oxygen (TPO) With Data
- — AI Vision for Fill-Level and Label Inspection
- — Predicting Packaging Line Downtime and Lifting OEE
- — Digitising Beer Tasting Panels: Power Apps, Power BI, and AI
- — AI-Assisted Sensory Panels and Taster Calibration
- — Predicting Grape Ripeness and the Optimal Harvest Date
- — Predicting Chill Haze and Colloidal Stability
- — Controlling Dissolved Oxygen in Beer With Machine Learning
2023
- — AI for Filtration and Centrifugation Optimisation
- — Predicting Beer Flavour Stability and Staling
- — CO2 Evolution as a Real-Time Fermentation Signal
- — AI for Fermentation Temperature and Cooling Control
- — Predicting Stuck Fermentation Before It Happens
- — An Executive KPI Scorecard for a Brewery in Tableau
- — A Distillery Production and Spirit-Yield Dashboard in Tableau
- — Detecting Wild Yeast and Bacterial Contamination Early With ML
- — A Sensory-Panel Results Dashboard in Tableau
- — Data-Driven Yeast Generation Management and Cropping
- — An EHS Safety-Incident Dashboard in Tableau
- — A Whisky Blending and Sensory Dashboard in Tableau
- — Forecasting Ester and Higher-Alcohol Formation in Fermentation
- — An ESG Sustainability Dashboard in Tableau (Water, Energy, Carbon per hl)
- — Using AI to Time the Diacetyl Rest
- — An Account-Churn Dashboard in Tableau
- — A Maturing-Stock Inventory and Valuation Dashboard in Tableau
- — Predicting Yeast Viability, Vitality, and Pitching Rate
- — A Brand and Marketing Performance Dashboard in Tableau
- — Brewhouse Yield: Using Analytics to Find Where Extract Disappears
- — A New-Product Launch Tracker in Tableau
- — A Rackhouse Microclimate Dashboard in Tableau
- — AI for Hot Break, Cold Break, and Wort Clarity
- — Promotion-Lift Analysis in Tableau
- — Predicting Wort Fermentability From the Sugar Spectrum
- — Mapping Beer Sales by Market in Tableau
- — Cutting Wort Boiling Energy With AI
- — A Cask Maturation and Angel's-Share Dashboard in Tableau
- — Predicting Lauter and Wort Separation Performance
- — A Taproom Sales and Footfall Dashboard in Tableau
- — AI-Optimised Mash Temperature Profiles
- — A Procurement and Commodity-Price Dashboard in Tableau
- — A Wine DTC and Varietal Sales Dashboard in Tableau
- — Can AI Predict Mash Efficiency and Extract Yield?
- — A COGS-per-Hectolitre Dashboard in Tableau
- — Predicting Malt Extract and Diastatic Power Before You Brew
- — An Inventory and Stock-Age Dashboard in Tableau
- — A Wine Tasting-Score and Blending Dashboard in Tableau
- — Computer Vision for Grain Intake and Malt QC
- — Demand Forecasting and What-If Analysis in Tableau
- — Using AI to Optimise Adjunct and Cereal Costs
- — Building a Distributor Scorecard in Tableau
- — A Cellar and Barrel-Ageing Inventory Dashboard in Tableau
- — AI for Hop Aroma Profiling and Smart Substitution
- — A Depletions and Sell-Through Dashboard in Tableau
- — Predicting Hop Bitterness (IBU) With Machine Learning
- — Visualising Packaging-Line OEE in Tableau
- — A Wine Fermentation Monitoring Dashboard in Tableau
- — Optimising Brewing Water Chemistry With AI
- — A Live Fermentation-Monitoring Dashboard in Tableau
- — AI for Barley Variety Selection: Spotting Malting Winners Earlier
- — Quality-Control Charts for Brewing in Tableau
- — A Vineyard Yield and Harvest Dashboard in Tableau
- — Can AI Predict Malt Quality From Barley Analysis?
- — Building a Brewery Production and Yield Dashboard in Tableau
2022
- — AI for Beer Naming and Trademark Screening
- — AI for Beer Logo and Brand Recognition
- — A Virtual Beer Sommelier: Recommendation Chatbots
- — Predicting Carbonation and Dispense Consistency
- — AI for Brewery Workforce and Shift Scheduling
- — AI for Beer-and-Food Pairing
- — Knowledge Search Over Brewery SOPs With Gen AI
- — AI for Taproom Footfall and Staffing Forecasts
- — Cellar Inventory and FIFO Optimisation With AI
- — Scaling a Homebrew Recipe to Production With AI
- — Beer Authentication and Counterfeit Detection With ML
- — Planning for CO2 Shortages With Predictive Models
2021
- — Forecasting Malt and Hop Prices for Smarter Procurement
- — Route Optimisation for Beer Distribution
- — AI for Keg Fleet Tracking and Optimisation
- — Electronic Nose and Tongue: AI for Off-Flavour Detection
- — AI for Brewery Production Scheduling
- — Anomaly Detection on Brewery Sensor Data
- — AI for Draught Line Cleaning and Pour Quality
- — Predicting Beer Foam and Head Retention
- — Classifying Beer Styles With Machine Learning
- — Predicting Beer Colour (EBC/SRM) From a Recipe
- — Reading the Room: NLP on Beer Reviews and Ratings
- — Beer Recommendation Engines: How AI Suggests Your Next Pint
- — Why Beer Is a Surprisingly Good Fit for Machine Learning