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Food & Beverage · FIRE Sales Table

The Touch-Screen Ordering System for F&B Trade Fairs.

At Anuga, your buyer stands in front of a 55-inch screen and browses your full range. They tap “gluten-free, organic, ambient.” 34 products appear. They compare three flavours side by side. They build a case-level order by touch. All data captured. No paper. No errors.

The Problem

Why Paper Ordering Costs F&B Brands More Than They Realise

Order Errors Multiply with Variants

A buyer orders “Mango, 6-pack, 20 cases.” But did they mean organic Mango or standard? The 330ml or 500ml? On paper, ambiguity becomes errors that cost logistics hours and customer trust.

Buyers Cannot Filter Your Range

A health-food retailer wants vegan, gluten-free products only. On paper, they flip through 40 pages. On the Sales Table, one tap filters 800 variants to the 34 that match.

Trade Fair Days Are Compressed

At Anuga, 15 appointments per day. Each buyer needs range, allergens, flavour comparison, and a built order. Paper slows everything. The Sales Table accelerates it.

The Experience

How an Order Builds on the Sales Table

Four steps. Fully touch-driven. Every interaction captured.

Collection · Full Range AW26
AllSparklingJuiceKombuchaShots
Mango Sparkling4 formats
Lime Kombucha3 formats
Berry Juice4 formats
Ginger Shot2 formats
Buyer browsing 200+ variants. Category taps, scroll depth, dwell time per product tracked.
Active Filters
✓ Organic
✓ Gluten-Free
✓ Vegan
Halal
Kosher
Ambient
34
of 206 products match
Filter combination stored in buyer profile for future assortment recommendations.
Compare Mode · 2 Variants
Lime Kombucha
Organic · 330ml · €1.80
42 cal · 8g sugar
VS
Green Apple Kombucha
Organic · 330ml · €1.80
38 cal · 6g sugar
Comparison captured: which flavours, how long, which was chosen. Nutritional data compared automatically.
Order Summary
Lime Kombucha 330mlCase × 12€216
Mango Sparkling 500mlPallet × 1€1,440
Ginger Shot 60mlDisplay × 4€288
3 products · mixed formats €1,944
✓ Synced to ERP
✓ Portal updated
✓ Analytics recorded
Mixed-format order confirmed. 42 data points captured. Profile enriched for next Anuga.
Trade Fair Intelligence

One Day at Anuga. What the Sales Table Captures.

0
Buyers seen
0
Products browsed
0
Orders placed
0
Data points
Interest by Category — Anuga Day 2
Sparkling
Juice
Kombucha
Shots
Water
Snacks
Views
Compares
Orders
Low
High
Built for F&B

What the Sales Table Handles That Other Tools Cannot

Allergen Matrix on Screen

All 14 EU allergens per product. Buyers filter by “free from” requirements. Nutritional tables visible. Compliance built into the selling experience.

Shelf-Life by Batch

Available batches with production date and remaining shelf life. Minimum requirements per channel enforced. Buyer sees exactly what they will receive.

Mixed Format Orders

Mango in pallets, Berry in cases, Ginger Shot in display trays. Each format with MOQ and pricing. Totals calculated across formats live.

Certification Badges

Organic, halal, kosher, vegan, Fairtrade as visual badges. Buyers see compliance at a glance. No PDF certificate scrolling.

Flavour Comparison

Two or three flavours side by side on 55 inches. Nutritional data, ingredients, packaging visuals at actual readability. Not thumbnails on a phone.

Trade Fair Mode

Optimised for Anuga, SIAL, ISM. Fast buyer switching, offline resilience, quick-order shortcuts, end-of-day sync. 15 appointments per day.

The Bigger Picture

The Sales Table Is a Buyer Intelligence Engine for F&B

At Anuga, the Sales Table replaces paper. That alone saves time. But the strategic value goes deeper. Every buyer interaction generates structured data: which categories they browsed, which allergen filters they applied, which flavours they compared, how long they spent on each product.

After one trade fair, you know which categories are gaining attention. After two, you predict which buyers will order which formats. After four, the Co-Pilot recommends assortments per buyer type — and those recommendations are measurably better than what any rep could assemble from memory.

The brands treating the Sales Table as a data engine are building the compound intelligence advantage in F&B wholesale.

Replace Paper at Anuga. Capture Every Interaction.

One trade fair with the Sales Table produces more buyer intelligence than a year of paper orders.

See the Sales Table Live

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

Trusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.

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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Discovery Call
Your products, channels, and systems.
2
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3
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Connected to your ERP in 20–40 days.
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