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Footwear · FIRE Sales App

Your Rep Walks Into the Appointment With Four Seasons of.

The FIRE Sales App turns every field visit and trade fair appointment into a data-rich interaction. Size patterns pre-filled. Order history loaded. Co-Pilot recommendations ready. Collections presented in full visual quality on iPad. And when your rep steps into the Digital Showroom, the Sales App becomes the remote control for a three-screen experience.

The Problem

What Your Reps Deal With Today

Every Appointment Starts Cold

The buyer ordered 400 pairs last season, adjusted sizes upward on running shoes, and browsed the portal last week. But your rep does not know any of this — because the CRM, the portal, and the ERP do not talk to each other.

Paper Order Forms Lose Intelligence

Handwritten size grids on triplicate forms. Scribbled notes. Quantities that need to be re-entered into the system later. Every paper order is intelligence lost — no browsing data, no dwell time, no comparison patterns.

Offline Means Disconnected

Trade fair Wi-Fi drops. The showroom has no signal. Your rep switches to PDF catalogues and paper. The moment they go offline, they lose access to stock levels, buyer history, and the entire digital experience.

The Field Visit

Anatomy of a Data-Rich Appointment

Four phases. Every one captures structured data.

Prepare
0
data points
Buyer history loaded
Size patterns analysed
Co-Pilot recommendations
Collection pre-selected
Last portal activity visible
Before the meeting
Present
0
data points
Collection showcase on iPad
Colourway comparisons
Material zoom & detail views
Showroom control (3 screens)
Product dwell time tracked
During presentation
Build Order
0
data points
Size grids filled by touch
AI pre-fill from history
Width selection per model
Stock check in real-time
Order value calculated live
Live ordering
Sync
0
data points
Order to ERP via Connect
Buyer profile enriched
Visit notes structured
Analytics dashboard updated
Co-Pilot learns patterns
After the meeting
0
total data points
per appointment
Capabilities

What the Sales App Does for Footwear Reps

Size-Run Intelligence

The AI analyses the buyer's order history and pre-fills size grids per model and category. EU, UK, and US sizing supported. Width variants inline. The rep adjusts, the buyer confirms, and the system learns for next time.

Digital Showroom Remote Control

In the showroom, the Sales App becomes the navigation controller. Switch scenes, zoom into products, start comparisons, and build orders — all from the iPad while the buyer watches on three large screens.

Offline-First Architecture

Product data, imagery, pricing, and buyer history are cached locally. The Sales App works without any internet connection — essential for trade fairs, basement showrooms, and international travel.

Full Collection Presentation

High-resolution product photography with zoom, 360° views, material details, and colourway comparison. Present 200 styles on an iPad more effectively than with a sample set of 50.

Visit Notes & Structured Feedback

After the appointment, the rep logs notes — but structured, not freeform. Buyer sentiment, interest areas, requested follow-ups. All connected to the buyer profile and visible to the team.

Assortment Recommendations

Before the appointment, load the recommended assortment for this buyer's segment — sport specialist, multi-brand retailer, or online player. Style mix, size-run depth, and pricing pre-configured. The rep presents a curated selection, not a catalogue dump.

FIRE Meet Integration

Cannot visit in person? Start a FIRE Meet session directly from the Sales App. The buyer joins via video, sees the same collection, and can place orders live. Same data capture, same profile enrichment.

The Bigger Picture

The Rep Is Not Replaced. The Rep Is Amplified.

The best footwear reps have decades of relationship depth, market intuition, and product knowledge. No technology replaces that. What the FIRE Sales App does is amplify it — by giving the rep information they could never carry in their head.

When the rep sits down with a retailer, the Sales App has already analysed four seasons of order data and loaded the recommended assortment for this buyer segment. It knows this buyer orders heavy on sizes 41–44, prefers earth-tone colourways, reorders running shoes mid-season, and spent 8 minutes on trail boots in the portal last Tuesday. The curated assortment is ready — the rep adjusts, does not build from scratch. The rep does not need to remember — the system remembers for them. They can focus on what humans do best: reading the room, building trust, and closing the deal.

Every appointment that runs through the Sales App generates 30–50 structured data points. After one season, the intelligence is noticeable. After three, it is transformative. The brands using the Sales App report faster appointments, higher order values, and — most importantly — a compounding data advantage that makes every subsequent season smarter than the last.

Give Your Reps Superpowers. Capture Every Interaction.

The Sales App turns every appointment into a data-rich interaction. Size patterns learned. Profiles enriched. Intelligence compounded.

See the Sales App Live

Own Your Data. Learn From It. Use It With AI.

Trusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.

FAQ

Frequently Asked Questions

FIRE captures every size runs interaction as structured data. When a buyer explores size runs 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 size runs demand patterns with increasing accuracy — helping footwear 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 last specifications. Most footwear brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and last specifications 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 footwear — including seasonal drops. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for footwear including size runs, last specifications, and seasonal drops 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 footwear 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, size runs interactions, order composition, and session timing. For footwear specifically, this includes last specifications preferences and seasonal drops patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
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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.
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