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Automotive Parts · Distribution Digitalisation

Digitalise Your Automotive Parts Distribution.

Every workshop visit without structured data capture is permanently lost intelligence. Every phone order is a VIN lookup unmeasured. Every Automechanika demo followed up by email is a cycle of distributor behaviour that vanishes. True digitalisation for automotive parts is not putting your 800-page catalogue online. It is building a system that captures workshop-level intelligence from every interaction — VIN lookups, fitment checks, brand comparisons, service job bundles — and compounds it into predictions that make every subsequent cycle smarter. 300 workshops. 50,000 parts. Weekly reorders. Every day you wait is intelligence permanently lost.

The Problem

A Digital Parts List Is Not Digitalisation. It Is a PDF With a Search Bar.

Your PDF Catalogue Generates Zero Intelligence

You email the promotional range to 200 retailers. You know who opened the email. You do not know who browsed multipacks, compared fitment variants, or filtered for sugar-free. A PDF is a broadcast. A platform is a conversation that generates data.

Automechanika Intelligence Decays to Zero by Monday

Your team observed fitment variant shifts at the fair. By the planning meeting, those observations are anecdotes. Without digital capture, every Automechanika is a fresh start. Structured session data preserves every listing outcome and category signal.

Every Cycle Without Data Capture Is a Cycle Lost

Every promotional cycle without structured digital capture is workshop intelligence you can never recover. A competitor who started capturing two cycles ago has rotation benchmarks and promotional velocity data. You have spreadsheets.

The Intelligence Clock

Every Week Without Digitalisation, the Clock Loses Another Cycle of Intelligence.

0% intelligence captured
Portal VIN data
Field visit intel
Showroom dwell
Remote sessions
Automechanika
Brand comparisons
Without Digitalisation
VIN lookups captured0
Field visits structured0
Brand comparisons tracked0
Automechanika data points0
Total intelligence / week0
With FIRE
VIN lookups captured0
Field visits structured0
Brand comparisons tracked0
Automechanika data points0
Total intelligence / week0
True Digitalisation

What Automotive Parts Distribution Digitalisation Actually Means.

Every Channel Digitally Captured

Portal orders, Automechanika sessions, showroom visits, remote presentations. Every buyer interaction structured as workshop intelligence. Not just orders. The browsing, filtering, comparing, and considering. All of it.

Rotation & Promotional Intelligence Preserved

Which SKUs accelerate, which fitment variants buyers compared before ordering, which seasonal window got commitment first — preserved as structured data. Not as a rep’s memory that fades by Monday.

Seasonal Benchmarks That Compound

Every promotional cycle builds on the last. Q4 pre-order velocity vs prior year. Back-to-School uptake per channel. Intelligence does not reset. It compounds.

Buyer Profiles That Learn

Every interaction enriches the buyer profile. The convenience buyer who reorders every Tuesday. The supermarket buyer who plans ranges in Q1. Profiles that learn, not contacts that age.

ERP Integration in 20–40 Days

FIRE Connect integrates with SAP, Microsoft Dynamics, and all major ERPs and PIMs. Catalogues, pricing, stock, and orders sync in real time. Your ERP handles fulfilment. FIRE handles intelligence.

AI-Ready From Day One

The data FIRE captures is structured for AI from the first session. After three promotional cycles, FIRE AI starts predicting demand, scoring listing risk, and modelling promotional uptake.

Style Intelligence

What Automotive Parts Brands Learn When Booth Engagement Becomes Structured Data

The Bigger Picture

A PDF With a Login Is Not Digitalisation. A Platform That Captures Shelf Intelligence Is.

Most Automotive Parts brands define digitalisation as “our catalogue is now online.” They have a portal with a login, a product grid, and an order form. That is the first 5%. The other 95% — the workshop intelligence that happens around the order — remains analogue. Which SKUs the buyer browsed, which fitment variants they compared, which seasonal window they explored but deferred. That intelligence evaporates every cycle.

FIRE digitalises the intelligence, not just the catalogue. Every portal session, every Automechanika interaction, every remote presentation — structured as six types of shelf data that persist, compound, and eventually power AI prediction. Digitalisation is not about the order. It is about the intelligence around the order.

The competitive gap is clear. A brand that has digitally captured three promotional cycles has rotation velocity curves, promotional benchmarks, and listing risk models. A brand that has digitally captured zero cycles — regardless of how long they have been in business — starts from zero. Time in market does not create a data moat. Structured digital capture does.

The platform is the digitalisation tool. The structured workshop intelligence is the outcome. The outcome compounds with every cycle, every session, and every buyer interaction that would otherwise have been a phone order with zero data capture.

Measurable Impact With FIRE

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

up to
68%
Self-Service Reorders
Six products feeding one connected intelligence layer
72% origin film completion drives listing commitment
Digitalise every channel →
up to
3.4×
Promotional Reorder Rate
ERP integration in 20–40 days, live before next promo window
AI-ready after three promotional cycles of structured data
Start capturing now →
up to
8 weeks
Earlier Trend Signals
Shelf rotation visible in real-time portal data
Production adjusted before quarterly report arrives
Capture workshop intelligence →
up to
100%
Workshop Intelligence Captured
Every listing gained, lost, and at risk — tracked
Category management powered by evidence, not spreadsheets
Own your listing data →
FIRE Digitalisation

Every FIRE Product Replaces an Analogue Process With Structured Data.

FIRE B2B Portal replaces PDF ordering. FIRE Sales App replaces paper notes. FIRE Analytics replaces quarterly reports.

10 FIRE products

Every Cycle Without Structured Digital Capture Is Shelf Intelligence Lost Forever.

Rotation data. Promotional intelligence. Listing outcomes. Start capturing now.

Start Digitalising
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 Automotive Parts brands across snacks, beverages, health & wellness, personal care, and household products worldwide.

FAQ

Frequently Asked Questions

FIRE captures every OEM part numbers interaction as structured data. When a buyer explores OEM part numbers 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 OEM part numbers demand patterns with increasing accuracy — helping automotive parts 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 compatibility matrices. Most automotive parts brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and compatibility matrices 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 automotive parts — including warranty tracking. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for automotive parts including OEM part numbers, compatibility matrices, and warranty tracking 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 automotive parts 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, OEM part numbers interactions, order composition, and session timing. For automotive parts specifically, this includes compatibility matrices preferences and warranty tracking 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

Workshop Intelligence Compounding Across Every Market. Right Now.

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