Beauty is one of the most visually driven, SKU-intensive, and seasonally complex B2B categories. Shade matrices with hundreds of variants. Collections that launch every quarter. Retailers that range from luxury department stores to independent boutiques. Your wholesale operation deserves a platform that understands this complexity — not a generic tool you have to bend into shape.
FIRE is the world's most powerful wholesale operating system for beauty and cosmetics brands. Processing nearly $10 billion in annual transactions with a purpose-built AI architecture that captures every data point from sell-in to sell-out.
Beauty brands face unique B2B challenges that generic platforms cannot solve. The combination of visual selling, shade complexity, seasonal cadence, and multi-channel distribution creates a perfect storm of operational friction and data loss.
A single lip colour range can have 48 shades across 3 formats. Multiply by collections and you have thousands of SKUs that must be presented, ordered, and tracked — with precision that spreadsheets cannot deliver.
New collections every quarter. Limited editions. Holiday specials. Carry-over programmes. Each requires separate catalogues, pricing, and availability windows — managed across dozens of markets and hundreds of retail partners.
Beauty is sold visually. Buyers need to see shades, textures, and packaging. PDF line sheets and Excel matrices cannot convey what a product looks like. Your sales tools must be as visual as your products.
Showroom meetings, trade fairs, field visits, phone orders, email reorders. Each channel operates independently. Data is scattered. Buyer intelligence is fragmented. No single view of your wholesale business exists.
Different retailers require different packaging, labelling, and assortment rules. Department stores have planogram requirements. Pharmacies need regulatory compliance. Managing this per-retailer complexity manually is unsustainable.
You ship thousands of orders per year but cannot answer basic questions: Which shades are trending? Which retailers are likely to churn? What will demand look like next season? The data exists — it is just not captured.
FIRE unifies your wholesale sales operation into a single platform — where every sales interaction, across every channel, generates structured data that compounds into competitive intelligence.
Today, your wholesale sales process runs across email, Excel, PDF catalogues, and WhatsApp — while your ERP and CRM sit in the background, receiving only the final order data. The rich buyer intelligence generated during the sales process never reaches them. None of it is structured. None of it feeds your future AI capabilities.
FIRE consolidates everything into one platform with five purpose-built products — each designed for a specific selling context, all sharing the same data layer underneath.
The result: every shade browsed, every collection presented, every order placed, every buyer interaction — captured as structured, queryable data. Not files. Not documents. Data that machines can read and learn from.
Each product serves a different B2B touchpoint. Together, they capture complete buyer intelligence across your entire wholesale operation.
Present your shade ranges on a large screen. Let buyers explore collections visually, compare...
Your field reps arrive at every retailer with full context — last season's orders, top shades,...
Retailers browse, compare, and order your collection 24/7. Every search, every shade comparison,...
An immersive three-screen brand experience with sound, light, and spatial design. An extended Sales Table...
Run virtual selling sessions with the same visual richness as an in-person showroom. Share your...
Real-time dashboards for shade velocity, collection performance, buyer behaviour, and reorder predictions. Every data point from every touchpoint — unified in one view.
From kickoff to compounding data intelligence — here is what the journey looks like when you bring FIRE into your beauty brand.
ERP connected. Product catalogue imported with full shade structure. Pricing rules configured. Buyer accounts created. Team trained on Sales Table and Sales App.
Sales Table used at first meetings and trade fairs. B2B Portal launched to buyers. First orders flowing through the system. Data capture begins — every interaction from day one.
Buyer portal adoption reaches 60–70%. Reorder patterns start emerging. Sales team relies on buyer profiles before every visit. First collection performance data becomes visible.
Shade velocity patterns visible. Buyer segmentation meaningful. Reorder predictions becoming accurate. Your data layer now contains insights no competitor can buy. The compounding has begun.
Whether you are an indie brand with a focused collection or an established house with thousands of SKUs — FIRE adapts to how you sell. Here are the brands that benefit most.
Generic B2B tools do not understand shade matrices, sample logistics, or retailer compliance. These modules are purpose-built for the beauty and cosmetics industry.
Structure your entire shade range with full variant trees — shades, formats, finishes, sizes. Buyers see visual shade grids. Your team manages one data source. Updates propagate instantly across FIRE Sales Table, FIRE Sales App, FIRE B2B Portal, and FIRE Digital Showroom.
Launch new collections with full digital support. Upload new products, assign availability windows, set regional pricing, and track sell-in progress in real time. Compare collection performance across markets before the season ends.
Different retailers need different packaging, labelling, and assortment configurations. Track compliance per retailer, flag gaps before they become chargebacks, and streamline onboarding for new retail partners.
Samples are a major cost centre with zero visibility. Track which samples were sent, to whom, and whether they converted into orders. Build a data-driven sampling strategy that connects product trials directly to purchase behaviour.
Every month of structured data capture makes your system smarter. After three months, you see shade patterns. After six months, you predict seasonal behaviour. After twelve months, your data layer contains intelligence no competitor can buy.
The beauty brands that dominate in five years will be the ones that started capturing structured data today.
Read the Full Data Strategy →When your data is structured and deep enough, real AI becomes possible: shade demand forecasting, personalised buyer recommendations, intelligent reorder suggestions, collection performance prediction, buyer churn detection.
AI is not a feature you bolt on. It is a capability that emerges from months of structured data capture through your daily operations.
Explore AI Use Cases →FIRE is the world's most powerful wholesale operating system for fashion and lifestyle brands. Processing nearly $10 billion in annual transactions with a purpose-built AI architecture that captures every data point from sell-in to sell-out. Every day without structured data capture means permanently lost transaction intelligence.
LEARN MOREThe complete picture: how FIRE works as a unified wholesale platform for beauty brands.
Read Overview →How to transition from manual wholesale processes to a data-driven digital operation.
Read Guide →Five layers that unify your B2B sales operation — from product data to AI intelligence, integrated with your existing systems.
See Architecture →Get a personalised walkthrough of the platform — configured for your product range, your shade complexity, and your buyer network.
Book Your DemoTell 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.
Trusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.
We replaced five disconnected tools with one platform. The first quarter alone gave us more buyer intelligence than the previous two years combined.
The data compounding effect is real. After six months, FIRE knows our buyers better than our most experienced sales rep.
Book a personalised demo — integrated with your ERP in 20–40 days.