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Food & Beverage · Why a Platform

Why Food & Beverage Brands Need a B2B Platform. Not More Tools.

You have an ERP that processes invoices. A CRM with buyer contacts. PDF line sheets for every variant. Excel for pack format pricing. Email for allergen queries. Zoom for international distributors. Six tools, six silos, and the intelligence that would transform your business — which variants gain interest, which allergen profiles are shifting, which pack formats drive volume in which channels — captured nowhere.

The Expiry Date

Your Trade Fair Intelligence Has a Shelf Life. It Is Shorter Than You Think.

During Tasting
100%
Every reaction visible. “Love the smoked variant. Too sweet on the mango.”
Monday After Anuga
58%
Flight home. “The Swiss distributor liked the organic line. Or was it the sugar-free?”
Two Weeks Later
22%
18 tastings blur together. Which buyer wanted gluten-free in single-serve? Notes say “interested.”
Next Production Run
6%
Production planning starts. Which variants had real demand? Which allergen profiles? ERP shows orders. Tasting reactions: gone.
With FIRE: every tasting reaction, every variant filter, every allergen query — captured permanently.
The Case for a Platform

Seven Reasons Tools Fail for F&B Wholesale

01

Variant Complexity Exceeds Every Spreadsheet

One product line: original, organic, sugar-free, vegan. Each in 250ml, 500ml, 1L, 6-pack, and HoReCa bulk. That is 20 orderable variants before adding seasonal flavours. PDF line sheets cannot navigate this. A platform with structured variant and pack format data can.

02

Allergen Intelligence Is a Competitive Advantage

Gluten-free filter usage is up 28%. Vegan certification is the second most-used filter. Lactose-free is growing in Nordics. Without structured allergen interaction data, these shifts are invisible until a competitor captures the shelf space.

03

Pack Format Demand Varies by Channel

Single-serve is growing 18% in convenience. Gift boxes spike 31% before holidays. HoReCa bulk is declining 12% post-pandemic. A platform captures pack format interest per buyer type in real time. A quarterly report shows it three months late.

04

Tasting Data Evaporates

At Anuga, a buyer tastes 6 variants and reacts to each. The smoked one: “perfect for our premium shelf.” The mango: “too sweet for our market.” With paper, this data has a half-life of days. With FIRE, tasting reactions are structured and permanent.

05

Shelf Life Constrains Inventory Decisions

F&B cannot overstock like fashion. Expiry dates mean production planning must match real demand precisely. Leading indicators — browsing patterns, filter usage, reorder velocity — reduce waste and stockouts. But only if captured in real time.

06

Origin Stories Drive Listings — But ROI Is Unmeasured

You invested €60,000 in origin story content showing your olive groves, your roastery, your sourcing journey. Does it drive listings? Origin story: 2.3× listing lift. Tasting video: 1.9×. Without a platform measuring watchtime-to-order correlation, content budget follows instinct.

07

Your Variant Intelligence Is Your Competitive Moat

After four seasons: structured data on which variants drive listings per buyer segment, which allergen profiles are gaining per market, which pack formats match which channels, and which tasting reactions predict orders. A competitor starting today needs four seasons to match. The platform is the tool. The variant intelligence is the moat.

The Bigger Picture

The Brands That Win Are Not the Ones With the Best Recipe. They Are the Ones Who Know Which Recipe the Market Wants.

Product quality in premium F&B is converging. Multiple brands offer organic, single-origin products with transparent sourcing. The taste gap between top-tier artisan brands narrows every year. The brands that win are not the ones with marginally better flavour.

They are the ones who know which variants their buyers value, which allergen profiles are shifting per market, which pack formats drive volume in which channels, and which origin content drives new listings. That knowledge comes from structured interaction data — not from Anuga tastings remembered imperfectly.

FIRE gives F&B brands this knowledge. Not as a one-time insight, but as a compounding data asset that grows every season, across every channel, with every buyer interaction. The platform is the tool. The variant intelligence is the advantage. And the advantage compounds.

Stop Adding Tools. Start Building Variant Intelligence.

Variants, allergens, pack formats, tasting data. One platform. Intelligence that compounds.

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Talk to Our Team

Tell us about your brand, your current B2B setup, and what you are looking to improve. We will show you exactly how FIRE works for your specific situation.

No generic demos. No slide decks. A real walkthrough with your products and your industry configuration.

What Happens Next

1
Discovery Call
Your products, channels, and systems.
2
Custom Demo
Platform configured for your industry.
3
Go Live
Connected to your ERP in 20–40 days.

Own Your Data. Learn From It. Use It With AI.

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FAQ

Frequently Asked Questions

FIRE captures every expiry management interaction as structured data. When a buyer explores expiry management options on the B2B Portal or Sales App, each selection is logged, analysed, and fed into the AI layer. Over three sales cycles, FIRE predicts expiry management demand patterns with increasing accuracy — helping food & beverage brands optimise production allocation and reduce dead stock by 15-25%. See FIRE Analytics.
Yes. FIRE Connect integrates with 250+ systems including SAP, Microsoft Dynamics, Oracle, and industry-specific solutions for cold chain compliance. Most food & beverage brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and cold chain compliance data flow seamlessly between FIRE and your existing infrastructure. Learn about FIRE Connect.
Most B2B platforms digitise transactions. FIRE captures intelligence. Every buyer interaction across Portal, Sales App, Digital Showroom, and Remote feeds one unified data layer. After three cycles, the AI predicts buyer behaviour, flags churn risk, and recommends assortment adjustments specific to food & beverage — including minimum order quantities. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for food & beverage including expiry management, cold chain compliance, and minimum order quantities workflows. The implementation team, based at our headquarters in Wollerau near Zurich, handles ERP integration, data migration, and buyer onboarding. First structured data flows within the first week.
Absolutely. FIRE supports multi-language, multi-currency, and region-specific pricing — essential for food & beverage brands operating across Germany, Austria, Switzerland, and wider European markets. Data is hosted on AWS — with optional Swiss or European hosting available — fully GDPR and Swiss data protection compliant. Our Zurich team supports brands in German, English, and French. Contact us.
FIRE captures six categories of structured data per buyer session: product views, search behaviour, comparison patterns, expiry management interactions, order composition, and session timing. For food & beverage specifically, this includes cold chain compliance preferences and minimum order quantities patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
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