Magazine
Book a Demo
Automotive Parts · FIRE Sales App

Automotive Parts Sales App for Automechanikas and Field Visits.

Your field rep visits 5 workshops per day. Each visit is 20 minutes. Without the Sales App, they carry a printed catalogue, look up part numbers manually, and write orders on paper. With FIRE, the rep enters the VIN of the car on the ramp, the app shows only parts that fit, cross-references to 5 aftermarket brands, confirms real-time stock, and places the order before the mechanic finishes the coffee. Five visits per day. Five structured intelligence profiles. At Automechanika, the same app presents on the big screen. The tool adapts. The data compounds.

The Problem

Why Traditional Field Sales Tools Fail Automotive Parts Brands at Scale.

Range Complexity Exceeds Print Capability

Automotive Parts ranges span thousands of SKUs with multiple fitment variants, promotional configurations, and channel-specific pricing. Static catalogues cannot reflect weekly promotional changes or real-time stock availability. FIRE Sales App delivers the full digital range with live filtering, fitment variant views, and instant pricing per buyer.

Listing Outcomes Need Structured Capture

Trade fair listing discussions produce proposals, acceptances, sample requests, and rejections. Without structured digital capture, these outcomes degrade into ambiguous notes. FIRE captures every listing decision with reason codes, links it to the buyer profile, and feeds it directly into category management workflows.

Session Intelligence Requires Digital Infrastructure

Pack format preferences, promotional uptake signals, category interest patterns, and channel-specific responses are high-value data points generated at every booth session. FIRE captures them automatically — products shown, filters applied, comparisons made, orders placed — and structures them as category intelligence.

A Real Day in the Field

5 Workshops. 5 Hours. 47 Parts Ordered. Every Visit Structured.

08:15
Autohaus Müller
Premium workshop · BMW specialist
3 VIN lookups 12 parts ordered
Preference: OE-equivalent brakes. Trending: LED upgrades.
09:30
Garage Express
Independent · Multi-brand
5 VIN lookups 8 parts ordered
Budget-conscious. Showed NK alternative. Switched 2 items to budget tier.
10:45
FleetCare GmbH
Fleet manager · 200 vehicles
0 VIN (bulk order) 18 parts ordered
Service schedule review. Pre-ordered Q1 filters + oil for 200 vehicles. €4,200 order.
12:00
KFZ-Werkstatt Schmidt
Independent · VW/Audi focus
4 VIN lookups 6 parts ordered
New ceramic brake pads demo. Mechanic comparing Brembo vs TRW. Decision next visit.
13:30
Pit Stop Service
Fast-fit · Tyres + Brakes
2 VIN lookups 3 parts ordered
Low engagement. AI flags: reorder frequency down 40%. Schedule follow-up remote demo.
5workshops visited
14VIN lookups
47parts ordered
5hfield time
100%structured data
Sales App Features

Automotive Parts Field Sales Features Built for Automechanikas, international fairs, and Every Customer Visit.

Full Range on Screen

Complete digital product range with real-time filtering by category, fitment variant, seasonal window, listing status, and channel. Live stock availability and pricing. Updated automatically — no catalogue reprints, no outdated price lists.

Promotional Calendar on Screen

All active and upcoming seasonal windows displayed with pre-order deadlines, display-ready pack options, volume-tier pricing, and compliance requirements. Buyers commit during the session. Uptake tracked per window, per buyer, per channel.

Listing Management

Real-time listing status per account. New listing proposals with product specs and sell-in data. Decision outcomes captured with reason codes. Listing velocity, acceptance rates, and gap analysis feeding FIRE Analytics automatically.

Channel-Specific Pricing

Automatic pricing adaptation per buyer profile: supermarket volume tiers, convenience terms, drugstore structures, online marketplace pricing. MOQs, delivery terms, and promotional conditions adjust per channel. One app, multiple commercial models.

Offline Ordering

Complete range, pricing, stock data, and service calendar cached locally. Orders placed without internet connectivity. Full session data — products shown, listings discussed, orders placed — syncs automatically when connection resumes.

Session Intelligence Capture

Every session generates structured data: products presented, fitment variants compared, listings proposed, promotional commitments made, and buyer responses captured. Session intelligence feeds FIRE Analytics for category management, Automechanika ROI measurement, and field sales optimisation.

Style Intelligence

What Automotive Parts Brands Discover When Every Automechanika Session Becomes Data

The Bigger Picture

The Rep Who Shows the Range Digitally Outsells the Rep With the Paper Catalogue. And Captures Intelligence Doing It.

FIRE Sales App adapts the presentation per buyer channel automatically. Supermarket buyers see the full range with VIN lookup-ready pack configurations and volume tiers. Convenience buyers see impulse-ready top sellers ranked by rotation velocity. Drugstore buyers see health and wellness category views with ingredient data. Each channel gets the relevant range view, pricing structure, and service calendar.

The listing management layer captures every proposal, acceptance, sample request, and rejection with structured reason codes. Listing velocity per account, acceptance rates per category, and gap analysis across the portfolio feed directly into category management workflows. This transforms Automechanikas from order-taking events into structured intelligence-gathering operations.

After one Automechanikas cycle, your booth data shows which categories drive the fastest listing commitments, which fitment variants buyers shift toward, and which seasonal windows get immediate pre-orders vs follow-up. After two cycles, your booth strategy, your product launch timing, and your Automechanika investment become evidence-based.

The Sales App is the tool. The session intelligence is the asset. And the asset compounds with every fair, every field visit, and every listing conversation that would otherwise have been a handwritten note discarded by Wednesday.

Measurable Impact With FIRE

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

up to
68%
Self-Service Reorders
Reps close orders at the booth, not via email follow-up
Listing outcomes captured with reason codes in real time
Close at the booth →
up to
3.4×
Promotional Reorder Rate
Promotional windows committed during the session
Pre-order velocity tracked per fair, per buyer, per window
Accelerate promotional commitment →
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 Sales App

FIRE Sales App Powers Every Automechanika and Field Visit.

Session data syncs to FIRE Core. Listing outcomes feed FIRE Analytics. Promotional commitments carry over to the FIRE B2B Portal.

10 FIRE products

Your Next Automechanikas Does Not Have to End With Handwritten Listing Notes.

Full range. Promotional calendar. Listing management. Offline ordering. Every session captured.

See the Sales App
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.

Brake pad order confirmed
Tokyo
😉 See the Sales App
🔥