Size-runs across EU, UK, and US. Pre-order collections and stock-at-once programmes running simultaneously. Hundreds of colourways, widths, and materials. FIRE manages all of it in one platform — with one data layer, one buyer profile, and AI that gets smarter every season.
A single style in three colourways across EU 36–46 is already 33 SKUs. Multiply by widths, by markets with different size systems, by pre-order vs. stock — the matrix explodes. Most tools cannot handle it. FIRE was built for it.
Seasonal pre-order runs six months ahead. Stock-at-once needs real-time availability. Most brands manage these in separate systems, duplicating data, confusing buyers. FIRE handles both in one interface with one data layer.
After two seasons, a retailer's size curve is predictable. They order heavy on 42–44, light on 36–37. Without a platform, reps remember this — sometimes. With FIRE, the AI pre-fills size grids automatically, per buyer, per category.
Leather, suede, synthetic. Standard width, wide fit, narrow. Each variant is a separate SKU with its own stock, delivery, and pricing. Footwear needs a PIM that handles this depth without collapsing the browsing experience.
GDS, Micam, CIFF — four days where 60% of seasonal orders are placed. Your tools must work offline and sync instantly. Then in-season, reorders and NOS replenishment can double revenue per account. You need one platform that handles both moments.
Sport specialists need different styles and size-runs than fashion boutiques. Department stores want curated packages. Most brands plan assortments in Excel — per retailer type, per market, per season. FIRE automates it: pre-built assortments, buyer-segment recommendations, and AI suggestions based on what similar stores sell best.
The initial pre-order is just the start. In-season reorders, NOS replenishment, and flash restock programmes can double the revenue per account. Without a portal and real-time stock, you miss the reorder window.
Footwear wholesale has a unique complexity: the intersection of seasonal collections, stock-at-once programmes, complex size-run matrices, and multi-market size systems. Most B2B tools were built for simpler industries — a product, a quantity, a price. They break when they encounter a style in four colourways, eleven sizes, two widths, with different pricing per market and delivery windows for pre-order versus NOS.
FIRE was built for this complexity. The PIM handles unlimited variant depth. Size grids are configurable per model, category, and market. Pre-order and stock-at-once coexist in the same interface. Assortments can be pre-built per retailer type — sport specialist, fashion boutique, department store, online player — with tailored style mixes, size-run depths, and pricing. And every interaction — whether at Micam, on the portal at midnight, or via a Remote session — writes to the same buyer profile and compounds into intelligence that gets smarter every season.
The brands that treat their B2B channel as a strategic asset — capturing size patterns, content engagement, buyer preferences, and reorder cadences — are the ones building an insurmountable data advantage. Every season without a platform is intelligence lost forever.
Trusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.
See FIRE for FootwearTrusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.
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.