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Product · FIRE Analytics

See Everything. Across Every Touchpoint. In Real Time.

Portal sessions, showroom visits, field interactions, reorder velocity, buyer engagement, content performance — unified in one analytics dashboard. FIRE Analytics does not report what happened last quarter. It shows what is happening right now, across every channel, for every buyer. The intelligence layer that turns raw data into commercial decisions.

Real-Timedashboards — not quarterly reports
Everytouchpoint unified in one view — portal, app, showroom, field
Crosschannel intelligence — see patterns no single system shows
AIpowered insights — anomalies, risks, and opportunities surfaced
The Reality Today

Your Reports Are Backwards-Looking, Channel-Blind, and Manual

Quarterly Reports

You discover performance trends three months after they happened. By the time the data reaches a slide deck, the opportunity to act has passed. Analytics should drive decisions, not document history.

Spreadsheet Dashboards

Someone exports data from three systems, manually combines them in Excel, creates pivot tables, and emails the file. By the time it arrives, the data is stale and the formatting is inconsistent.

Channel Blindness

Your ERP shows orders. Your portal shows sessions. Your CRM shows notes. But nobody sees the full picture. Cross-channel intelligence is impossible when every system has its own silo.

The Live Dashboard

Four Views. One Truth. Always Live.

Switch between dashboards. Every number is real-time. Every insight is cross-channel.

FIRE Analytics · Live Dashboard
Live
Active Buyers
847
+12% vs last cycle
At-Risk Accounts
23
Velocity declining >20%
Expansion Pipeline
156
Browsing without ordering
Engagement Velocity
10 weeks agoNow
Buyer Segments
High Velocity34%
Steady41%
Declining14%
New11%
Dashboard Views

Four Perspectives. One Connected Truth.

Buyer Intelligence

Active buyers, at-risk accounts, expansion pipeline, engagement velocity, behavioural segments. The complete picture of your buyer base — across every touchpoint, updated in real time.

Sales Performance

Revenue by channel, rep performance, conversion rates, average order value, sell-through. See how the sales team performs across showroom, portal, remote, and field — in one view.

Product Insights

Top products by velocity, emerging trends, declining SKUs, cross-sell potential, category performance. Which products are winning — and which need attention before the quarter ends.

Channel Mix

Portal vs showroom vs field vs remote. Channel contribution, migration patterns, multi-touch journeys. See which channels drive discovery and which drive conversion — and how they connect.

Features

Analytics Built for Commercial Decisions. Not Vanity Metrics.

Real-Time Data

No batch processing. No overnight sync. Dashboards update as events happen. An order placed now appears in the analytics now.

Anomaly Detection

The dashboard does not wait for you to notice a problem. Velocity drops, engagement declines, and unusual patterns are flagged automatically. Act before the quarterly review.

Cross-Channel

Portal + showroom + field + remote in one view. See buyer journeys that span multiple touchpoints. Understand which channel drives discovery and which drives conversion.

The Intelligence Layer

Analytics That Get Smarter With Every Cycle

Buyer segments refine automatically as new behavioural data arrives
Velocity baselines established per buyer, per product, per channel
At-risk detection sharpens as the model learns from three cycles of data
Cross-channel attribution reveals which touchpoints drive the most value
Content performance measured by what was shown vs what was ordered
Every dashboard feeds the AI layer. Analytics and prediction converge.

Your data does not just tell you what happened. It tells you what to do next.

Analytics Intelligence

What Brands Discover When Analytics Become Real-Time

Speed
A velocity drop in a key account was flagged the same week it happened, not three months later. The sales team intervened immediately and saved the listing.
FIRE Analytics · Real-Time
Cross-Channel
Buyers who visited the showroom and then used the portal converted at a significantly higher rate. The channel combination was the insight no single-system report could reveal.
FIRE Analytics · Multi-Touch
Segments
AI-discovered buyer segments did not match the manual categorisation. Behavioural segments revealed that purchase frequency mattered more than geography for predicting growth.
FIRE AI · Buyer Segments
Products
The top ten products by engagement were not the top ten by revenue. The gap revealed which products needed more visibility and which were already performing at their ceiling.
FIRE Analytics · Product Insights
Reps
Rep performance visible by channel. Some reps excelled in the showroom but underperformed remotely. Coaching became targeted instead of generic.
FIRE Analytics · Sales Performance
Anomaly
An unusual pattern in portal sessions from a single market was flagged automatically. Investigation revealed a competitor campaign. The response was immediate.
FIRE Analytics · Anomaly Detection
Pipeline
Buyers browsing new categories without ordering were identified as the expansion pipeline. The sales team followed up with targeted presentations. Conversion followed.
FIRE Analytics · Demand Signals
Content
Campaign visuals that correlated with higher conversion were identified. The next season's content investment was informed by evidence from the analytics dashboard.
FIRE Analytics · Content ROI
Capacity
Showroom utilisation visible in real time. Overbooking prevented. Quiet periods identified and filled with proactive buyer outreach. Every slot became productive.
FIRE Analytics · Showroom
Compound
Three cycles of connected analytics. Every insight sharpens. Every prediction improves. The competitive advantage of data-driven decisions compounds with every cycle.
FIRE Core · Compound
FIRE B2B Portal

Analytics Reads Data From Every FIRE Product.

Portal, showroom, app, table, remote — every touchpoint feeds the analytics layer.

10 FIRE products

Global Distribution

Intelligence Compounding Across Every Market. Right Now.

Allocation confirmed
Tokyo
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.
FIRE Products
B2B Portal Sales App Sales Table Showroom AI Assistant
Remote Core Content Suite Connect Meet Analytics

See Everything. Decide Faster. Act Now.

Real-time dashboards. Cross-channel intelligence. AI-powered insights.

Book a Demo
FAQ

Frequently Asked Questions

Most brands are fully operational within 20 to 40 days. FIRE Connect handles ERP integration with pre-built connectors for 250+ systems. Our implementation team, based in Wollerau near Zurich, manages data migration, system configuration, and buyer onboarding. First structured buyer data typically flows within the first week. Get started.
No. FIRE works alongside your ERP, not as a replacement. FIRE Connect integrates bidirectionally with SAP, Microsoft Dynamics, Oracle, and 80+ other ERP systems. Orders flow from FIRE to your ERP automatically. Stock levels and product data sync back. Your ERP handles operations, FIRE handles buyer intelligence.
FIRE serves 27 industries across wholesale distribution — from fashion and beauty to industrial equipment, pharma, and agriculture. Each industry benefits from the same core intelligence layer, with industry-specific configurations for product structures, ordering workflows, and analytics. See all industries.
FIRE is developed by FIREGROUP GmbH, headquartered in Wollerau (Canton of Schwyz) with offices in Zurich. We serve brands across DACH, Europe, and global markets. All data is hosted on AWS, with optional Swiss or European hosting with full compliance to GDPR and Swiss data protection regulations. Our team supports clients in German, English, and French.
FIRE captures six categories of structured data per buyer session: product views and search behaviour, comparison patterns, size and variant interactions, order composition and timing, abandoned selections, and session engagement metrics. This data feeds the AI layer which, after three sales cycles, predicts demand, detects churn risk, and recommends assortment adjustments. Explore FIRE Analytics.
No. The FIRE B2B Portal runs in any modern browser — no app, no plugin, no download. Buyers access your branded portal via a URL, log in, and start ordering. For trade fairs and showrooms, the Digital Showroom and Sales Table provide dedicated interfaces that also require no buyer-side installation.