Food and beverage wholesale still runs on phone calls, email orders, and PDF price lists. The brands that digitalise first do not just get efficiency — they get intelligence. Every reorder pattern, every allergen filter, every variant preference becomes structured data that compounds into a competitive advantage no late starter can replicate.
“40 cases Sparkling Lemon, 20 cases Berry Juice.” Which pack format? Which pricing tier? Is stock available? Every email order generates follow-up questions instead of intelligence.
One spreadsheet per channel, per market, per promotional window. Version conflicts. No connection to stock levels. No allergen data. No shelf-life information. A maintenance nightmare disguised as a tool.
A 40-page lookbook emailed to buyers. No filtering by allergen or certification. No pack-size selection. No stock visibility. And you have no idea if they opened page 3 or page 37.
The retailer calls at 4:55 PM. “I need Ginger Shots before Saturday.” Your office is closing. The order gets written on a Post-It. Monday morning, it has disappeared. The shelf is empty all weekend.
Anuga, SIAL, ISM — four days where distribution partnerships form. Your tools are paper forms and handwritten notes. Every appointment generates zero structured data. Next Anuga, you start from scratch.
You know what was ordered. You do not know what was browsed, compared, filtered by allergen, or abandoned. Without interaction data, every quarter starts cold. Assortments are guesswork. AI is impossible.
Four phases. Parallel workstreams. Your team sells digitally within one quarter.
Most F&B brands start with the portal and add channels over subsequent quarters.
Pipeline visibility across all channels. Reorder frequency per buyer. Variant performance per market. No quarterly spreadsheet assembly — real-time dashboards.
Walk into every appointment with buyer history: which flavours they order, which certifications they need, which pack formats they prefer. Co-Pilot suggests new variants that match their profile.
Which origin stories drive orders? Which sustainability messaging resonates? Content engagement data from the Showroom tied directly to sales outcomes. ROI becomes measurable.
Allergen data structured, not in PDFs. Certification badges automated. Shelf-life rules enforced per channel. Compliance built into the selling process, not bolted on after.
Demand signals from portal browsing — not just orders. Which variants are gaining attention before they spike in orders. Shift detection before the quarter ends. Better planning, less waste.
Strategic overview across channels, markets, and buyer segments. Data asset growth visualised. The compounding intelligence advantage quantified. One source of truth.
Most F&B brands think of digitalisation as a one-time project: launch a portal, train the reps, done. But the brands that gain the real advantage treat it differently. They treat digitalisation as the first chapter of a data strategy — not the conclusion of an IT initiative.
After one quarter with the platform, you have baseline data. After two, patterns emerge: which flavours trend in which channels, which buyers are growing, which are declining. After four, AI predicts demand shifts. After eight, you have an intelligence asset that no competitor can replicate — because data compounds, and they started four quarters later.
The question is not whether to digitalise. It is how many more quarters of buyer intelligence you are willing to lose before you start.
From kickoff to live in 20–40 days. Every quarter after that gets smarter.
Start Your DigitalisationTrusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.
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