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FMCG · B2B Platform

One Connected B2B Platform for FMCG. Not Six Disconnected Tools.

You already have a portal. You have a sales app. You have analytics somewhere. The problem is that none of them share data. The buyer who reordered energy bars on the portal, explored protein bars at the trade fair, and pre-ordered the Q4 range via Remote — in your toolstack, that is three disconnected events. In FIRE, that is one compounding buyer profile that shapes the next recommendation, the next session, and the next category plan.

The Problem

Tools Do Not Compound Shelf Intelligence. Connected Platforms Do.

Your Portal Does Not Know What Your Rep Showed

The buyer browsed energy bars on the portal. Your rep showed protein bars at the trade fair. Remote presented the Q4 range. Three channels, three data silos. No single view of what the buyer actually wants. FIRE connects all three into one profile.

Shelf Signals Are Split Across Systems

Rotation data from the portal. Pack format preferences from the showroom. Promotional velocity from trade fairs. In separate tools, these signals never connect. In one platform, they compound into category intelligence.

A Toolstack Generates Reports. A Platform Generates Intelligence.

Your portal vendor sends a usage report. Your trade fair app sends a session summary. Your ERP sends an order export. Three reports, no connection. FIRE generates one intelligence layer that learns from every channel simultaneously.

The Architecture

Six FIRE Products. One Connected Platform. Every Channel Feeding FIRE Core.

Every product feeds the same data layer. Every session enriches every other session.

FIRE
Core
B2B Portal
Reorder patterns, category browsing, pack format preferences
Sales App
Trade fair sessions, listing outcomes, field visit intelligence
Sales Table
Product interactions, promotional engagement, range exploration
Digital Showroom
Origin content engagement, range dwell, booth conversion
Remote
Regional demand, international preferences, market intelligence
Analytics
Velocity dashboards, promotional tracking, listing intelligence
Platform Advantages

What a Connected FMCG Platform Does That a Toolstack Cannot.

One Buyer Profile Across Every Channel

Portal reorders, trade fair sessions, showroom visits, remote presentations — one buyer, one profile. Every rotation signal, every pack preference, every promotional commitment from every channel. The rep sees the full picture.

Compounding Shelf Intelligence

Rotation data from the portal. Pack preferences from the showroom. Regional signals from Remote. Promotional velocity from the Sales App. Four channels, one intelligence layer. Every session enriches every prediction.

Promotional Calendar Everywhere

The same Q4 Holiday window on the portal, in the Sales App, on the Sales Table, and in Remote sessions. Consistent commercial terms. One promotional pipeline aggregating every channel.

Channel-Adapted Workflows Everywhere

Supermarket planogram tools in the portal and the Sales App. Convenience impulse assortments in every channel. Drugstore health views everywhere. One platform, four channel models.

ERP Connected via FIRE Connect

SAP, Microsoft Dynamics, and all major ERPs. Catalogues, pricing, stock, promotional calendars, and orders sync in real time. Your ERP handles fulfilment. FIRE handles intelligence.

The Data Moat Compounds Every Cycle

After three promotional cycles, the platform advantage is structural. Rotation curves, promotional benchmarks, listing models, and channel intelligence — built on connected data a toolstack can never replicate.

Style Intelligence

What FMCG Brands Learn When Booth Engagement Becomes Structured Data

The Bigger Picture

A Toolstack Generates Six Reports. A Platform Generates One Truth. The Truth Compounds.

The difference between a toolstack and a platform is not features. It is the data layer. In a toolstack, your portal knows the buyer reordered energy bars. Your Sales App knows the rep showed protein bars. Your Remote tool knows the buyer pre-ordered Q4 packs. Three tools, three data points, three systems that never connect.

In FIRE, those three interactions compound into one buyer profile: she prefers multipacks over singles, responds to health-positioned products, pre-orders seasonal ranges early, and her reorder velocity increases when she enters via a promotional window. That profile shapes the next portal recommendation, the next session plan, and the next promotional offering.

After three promotional cycles, the compound effect becomes a moat. The platform brand has rotation curves per channel, promotional benchmarks per window, and listing risk models per account. The toolstack brand has six separate reports and a quarterly review. The gap widens every cycle because connected data compounds and disconnected data does not.

The platform is the structure. The connected shelf intelligence is the advantage. The advantage compounds with every cycle, every channel, and every buyer whose cross-channel journey adds another data point to your category planning moat.

Measurable Impact With FIRE

Reduce effort, accelerate velocity, and capture intelligence — across every channel and every promotional window.

up to
68%
Self-Service Reorders
Six products feeding one connected intelligence layer
72% origin film completion drives listing commitment
Connect every channel →
up to
3.4×
Promotional Reorder Rate
Promotional pipeline aggregating portal, fair, and remote
Toolstack generates reports. Platform generates intelligence.
Build the platform advantage →
up to
8 weeks
Earlier Trend Signals
Shelf rotation visible in real-time portal data
Production adjusted before quarterly report arrives
Capture shelf intelligence →
up to
100%
Listing Intelligence Captured
Every listing gained, lost, and at risk — tracked
Category management powered by evidence, not spreadsheets
Own your listing data →
FIRE Platform

Six FIRE Products. One Connected Intelligence Platform.

Each product captures shelf intelligence the others compound. After three cycles, connected data becomes a structural moat.

10 FIRE products

Six Products. One Intelligence Layer. Three Cycles to a Data Moat.

Portal, Sales App, Sales Table, Digital Showroom, Remote, Analytics — all connected.

See the Platform
Get Started

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 leading FMCG brands across snacks, beverages, health & wellness, personal care, and household products worldwide.

FAQ

Frequently Asked Questions

FIRE captures every shelf rotation interaction as structured data. When a buyer explores shelf rotation 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 shelf rotation demand patterns with increasing accuracy — helping fmcg 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 promotional calendars. Most fmcg brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and promotional calendars 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 fmcg — including pack format variants. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for fmcg including shelf rotation, promotional calendars, and pack format variants 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 fmcg 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, shelf rotation interactions, order composition, and session timing. For fmcg specifically, this includes promotional calendars preferences and pack format variants patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
Also available for
Fashion & Apparel Consumer Electronics Beauty & Cosmetics Food & Beverage
All Industries →
Global Distribution

Intelligence Compounding Across Every Market. Right Now.

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