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Fashion & Apparel · FIRE Sales App

Your Entire Collection in Your Rep's Pocket. Every Visit Captured.

The FIRE Sales App gives your field sales team the full collection, buyer history, size-grid ordering, and reorder suggestions — on a tablet, offline-capable, with every interaction captured as structured data.

The Problem

What Happens on a Field Visit Today

Your sales rep walks into a boutique. They have a PDF catalogue, a printed price list, a notebook, and their memory. This is how most fashion wholesale still works.

No Buyer Context

The rep does not know what the buyer browsed on the portal last week. Does not know which styles from last season performed best. Starts every conversation from scratch.

Paper Orders, Again

The order is written by hand or typed into a separate app that does not connect to the catalogue, the ERP, or the buyer profile. Another data silo created.

Zero Data from the Visit

The conversation, the reactions, the products shown, the sizes discussed — none of this is captured. The richest buyer interaction in wholesale generates zero intelligence.

A FIRE-Powered Field Visit

Four Steps. Full Intelligence.

Before the Visit

Prepare

App loads the buyer profile. Last orders, portal activity, preferences. The rep knows exactly what to show before walking in.

0 data points loaded
At the Buyer

Present

Swipe through the collection on the tablet. Zoom into fabrics. Compare colourways. The buyer sees every style in high resolution.

0 interactions tracked
Ordering

Build Order

Open size grids, fill quantities, see running totals. Add multiple styles. The order is complete before the rep leaves.

0 order lines captured
After the Visit

Sync & Enrich

Order syncs to ERP. Buyer profile enriched. Visit notes saved. Next visit starts from where this one ended.

0 profile fields updated
Fashion-Specific

What Makes the Sales App Different for Fashion

Visual Collection Browser

High-resolution imagery, campaign shots, and detail views. Buyers see the collection as it was designed to be seen — not as a low-res PDF on a phone screen.

Smart Reorder Suggestions

The app knows what the buyer ordered last season. It suggests reorders based on sell-through data and size curves. The rep starts from intelligence, not from zero.

Inline Size-Grid Ordering

Full size × colour matrices on the tablet. Tap quantities, see totals, adjust on the fly. Multiple styles in one order. Confirmed with a signature.

Visit Notes & Context

Attach notes to the buyer profile. Store conditions, display preferences, competitor intel. Structured data that informs the next visit and the next rep.

Offline-First Architecture

Full catalogue, full buyer profiles, full ordering — without internet. Designed for showrooms, trade fairs, and remote boutiques. Syncs when connectivity returns.

Cross-Channel Buyer View

See what the buyer did on the B2B Portal, Sales Table, and in previous visits. One unified timeline. The richest buyer context in wholesale.

👜

Tuesday morning, Milan. The rep opens the Sales App in the car. Next visit: a boutique in Brera. The app shows last season's order — heavy on knitwear, lighter on outerwear. Portal activity this week: three visits to the new coat collection. The rep adjusts the presentation. Twenty minutes later, the buyer has ordered twelve coats she was already considering. Data turned a routine visit into a targeted conversion.

Turn Every Store Visit Into a Data-Rich Interaction

Hundreds of visits per year. Each one generating structured buyer intelligence that compounds over time.

Book Your Sales App Demo

Part of the FIRE Product Ecosystem

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 grids interaction as structured data. When a buyer explores size grids 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 grids demand patterns with increasing accuracy — helping fashion & apparel 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 seasonal collections. Most fashion & apparel brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and seasonal collections 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 fashion & apparel — including pre-order management. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for fashion & apparel including size grids, seasonal collections, and pre-order management 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 fashion & apparel 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 grids interactions, order composition, and session timing. For fashion & apparel specifically, this includes seasonal collections preferences and pre-order management patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
Also available for
Beauty & Cosmetics Footwear Sports & Outdoor Jewellery & Watches
All Industries →
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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.
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