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Problem · Slow Decisions

By the Time Your Data Is Ready, the Window Has Closed.

Your competitors react in hours. Your team needs days — because the data lives in five systems, the report takes a week to prepare, and the spreadsheet is already outdated before the meeting starts. Slow decisions are not a people problem. They are a data infrastructure problem.

Daysto compile a report that should be available in seconds
5+systems queried manually for one business question
0real-time visibility into buyer behaviour and velocity
3cycles of connected data to unlock AI-powered prediction
The Core Problem

Your Data Exists. Your Decisions Cannot Reach It.

Reports Take Days, Not Seconds

The data exists somewhere — spread across ERP, CRM, portal, and spreadsheets. Compiling it into a report takes days of manual work. By the time it is ready, the numbers have changed.

Visibility Ends at the Order

You know what shipped. You do not know what was browsed, what was compared, what was abandoned. The 95% of buyer behaviour that predicts future demand is invisible to your decision-makers.

Decisions Based on Last Quarter

When real-time data is unavailable, decisions default to quarterly reviews and historical averages. The market moves daily. Your decision cycle moves quarterly. The gap costs revenue.

Slow decisions are not a people problem. They are a data infrastructure problem.

The Difference

The Same Question. Two Different Timelines.

“Which products are losing velocity in Channel A?”

Without Connected Data
Day 1
Request data from three departments
Day 2–3
Export data from ERP, CRM, and portal separately
Day 4
Consolidate in spreadsheet, clean inconsistencies
Day 5
Build charts, prepare presentation
Day 6+
Present findings — data already outdated
Time to decision6+ days
With FIRE
Open Dashboard
All data connected. Filter by channel, product, time period.
See the Answer
Velocity trends, risk signals, and AI recommendations visible instantly.
Decide
Act on evidence. Today.
Time to decisionSeconds
The Symptoms

How Slow Decisions Show Up in Your Business

!
Weekly reports prepared manually from multiple system exports
!
Decisions delayed until the next quarterly review meeting
!
No visibility into real-time buyer behaviour or velocity shifts
!
At-risk listings discovered weeks after the signal appeared
!
Promotional impact assessed months after the window closed
!
Different departments present different numbers for the same metric
!
Gut feeling replaces data because data is not available fast enough
The Impact

What Slow Decisions Actually Cost

Missed Market Windows

A promotional opportunity, a competitor exit, a seasonal demand shift. By the time the data confirms what the market already signalled, the window is closed.

Listings Lost Silently

A buyer reduces velocity. Then skips a reorder. Then goes silent. Without real-time signals, the listing is lost before anyone notices. Reactive discovery costs more than proactive prevention.

Overproduction and Waste

Without real-time demand signals, production follows forecasts. Forecasts are averages. Averages hide the variance that causes overstock, markdowns, and write-offs.

Strategy Becomes Guesswork

Without a data foundation, strategic decisions rely on opinion, experience, and whoever has the most recent spreadsheet. Evidence-based strategy requires evidence in real time.

The FIRE Approach

From Quarterly Reports to Real-Time Intelligence

Real-time dashboards replace manual report preparation
Buyer velocity, engagement, and risk signals visible instantly
AI-powered alerts flag issues before they become problems
Every department works from the same data foundation
Promotional impact measurable during the window, not after
Three cycles of data unlocks predictive intelligence
Real-World Example

From Weekly Spreadsheets to Instant Answers

Before

A brand manager needs to know which products are losing velocity in a key channel. The data team exports from three systems, consolidates in Excel, and delivers a report five days later. The report shows a problem that started three weeks ago.

5-day turnaround 3 system exports Already outdated
With FIRE

Instant Visibility

Open dashboard, see velocity by channel

AI Early Warning

Risk flagged weeks before the listing is lost

Same-Day Action

Intervene while there is still time

The result: from 5-day reports to instant answers. Decisions happen the same day the signal appears.

Real-Time Intelligence

What Changes When Decisions Happen at the Speed of Data

Speed
Questions that took a week to answer now resolve in seconds. The dashboard is always current because the data is always connected.
FIRE Analytics · Real-Time
Prevention
At-risk listings flagged weeks before the buyer goes silent. Early intervention saved accounts that reactive discovery would have lost.
FIRE AI · Early Warning
Alignment
Every department sees the same numbers. No more conflicting spreadsheets. One source of truth enables aligned decisions across the organisation.
FIRE Core · Consistency
Agility
Promotional windows evaluated in real time, not months later. Mid-campaign adjustments become possible when the data arrives during the campaign.
FIRE Analytics · Campaign Intelligence
Prediction
After three cycles, AI predicts which accounts will grow and which will decline. Strategy shifts from reactive to predictive.
FIRE AI · Predictive Intelligence
Confidence
Decisions backed by evidence, not opinion. When the data is real-time and reliable, the discussion shifts from whose numbers are right to what to do next.
FIRE Core · Decision Quality
Velocity
Product velocity visible per SKU, per channel, per region in real time. The rotation data that used to arrive quarterly now updates continuously.
FIRE Analytics · Velocity Tracking
Allocation
Inventory allocation follows real-time demand signals instead of historical averages. Production planning improves structurally with every cycle.
FIRE Planning Suite · Demand Alignment
Efficiency
Report preparation time reduced from days to zero. The team that used to compile data now analyses it and acts on it.
FIRE Analytics · Team Impact
Compounding
Every cycle of connected data makes the next decision faster and more accurate. The intelligence compounds. The advantage grows.
FIRE Core · Strategic Asset
FIRE B2B Portal

FIRE Delivers the Intelligence Your Decisions Need.

From real-time dashboards to AI predictions — explore how each product accelerates your decision speed.

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.
Problems We Solve
Data Silos
Tool Fragmentation
Excel Dependency
Manual Processes
Slow Decisions

Make Decisions at the Speed of Your Data

Real-time intelligence for every business question.

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.