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Food & Beverage · FIRE Analytics

Real-Time Dashboards for Variant Performance, Listing.

Your monthly sales report shows what shipped last period. FIRE Analytics shows what is happening now: which flavour variants are gaining interest across buyer segments, which pack formats drive volume in which channels, which allergen-free lines are accelerating, and which buyers are showing early signs of declining engagement. Not last month. Right now.

The Problem

Why Monthly Reports Fail for F&B Brands

Seasonal Peaks Are Missed

Iced tea variants spike in portal browsing 6 weeks before summer orders arrive. By the time the quarterly report shows the trend, the production run is planned and the opportunity to increase allocation is gone.

Allergen Trends Are Invisible

Gluten-free filter usage on the portal is up 28% this quarter. Vegan certification is now the second most-used filter. Your product team does not see this because ERP only stores what was ordered — not what was searched.

Buyer Decline Hides in Totals

Total reorder volume looks healthy. But inside: 3 large food service accounts are declining 18% while 8 specialty retailers are growing. The total hides the channel shift. Buyer health scoring reveals it.

The Dashboard

What Your Team Sees After Anuga Week

FIRE Analytics · Post-Anuga · LiveReal-time
Variant Interest This Month
Classic
92%
Organic
74%
Sugar-Free
58%
Vegan
41%
Limited Ed.
28%
Allergen & Diet Filters
Gluten-free+28% YoY
Vegan certified+22% YoY
Organic / Bio68% use
Lactose-free34% use
Buyer Health
Healthy142
Watch16
At Risk5
3 food service accounts declining — flagged
Pack Format Demand
Single serve+18%Convenience
6-pack+4%Retail stable
Bulk / HoReCa-12%Post-COVID
Gift box+31%Seasonal
Content & Tasting ROI
Origin story film2.3×
Tasting video1.9×
Sustainability story1.6×
Product grid only1.0×
Intelligence in Action

How F&B Brands Use FIRE Analytics Every Day

The Bigger Picture

Analytics Is Not a Dashboard. It Is a Decision Engine for F&B Brands.

A monthly report tells you that organic variants outsold conventional last quarter. FIRE Analytics tells you that organic browsing is up 34% this week, that gluten-free filter usage jumped 28% year-over-year, that single-serve packs are gaining 18% in convenience channels while HoReCa bulk is declining 12%, and that 3 food service accounts are showing early churn signals.

These are real-time signals that change decisions: adjust production runs, expand allergen-free lines, shift pack format allocation, trigger proactive outreach to at-risk accounts. In F&B, where shelf life constrains inventory flexibility and seasonal windows are narrow, the timing of intelligence is the intelligence.

After two seasons, your product development team does not start with consumer trend reports. They start with structured buyer demand data: which variants, which allergen profiles, which pack formats, which channels actually want — measured across every touchpoint, not guessed from trade fair tastings.

Stop Reading Last Quarter. Start Seeing Next Season’s Demand.

Variants, allergens, pack formats, buyer health — all real-time, all connected.

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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.

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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