A trade fair conversation. A portal browsing session. A showroom visit. A remote presentation. Every touchpoint generates buyer signals that disappear the moment they happen — unless the platform is designed to capture them as structured data. FIRE is that platform. One interaction at a time, one data point at a time, one cycle at a time.
Your ERP records what shipped. It never sees what was browsed, compared, considered, or abandoned. The 95% of buyer behaviour that reveals demand patterns, preference shifts, and listing risk is invisible to every system in your stack.
A sales rep has 40 conversations at a trade fair. By Monday, the details blur. Which products were shown? Which listings were committed? Which buyer asked about the new range? Without structured capture, the most valuable selling day of the year produces zero data.
Portal data in one system. CRM notes in another. Trade fair scans in a spreadsheet. Showroom visits in memory. Remote sessions in a video tool. Five touchpoints generating intelligence that never meets in one place, never compounds, and never becomes actionable.
Click any touchpoint to see what data it captures.
Every portal session captures browsing patterns, category exploration, product comparisons, filter usage, basket building, and reorder timing. The buyer self-serves. The platform captures everything — structured, timestamped, and attributed to a specific account.
Which categories a buyer explores before ordering. Which products are viewed but not purchased. Which filters are applied. These signals reveal intent, preference, and emerging demand that no order confirmation contains.
How frequently each buyer reorders. How that frequency changes over time. Which products accelerate, which decelerate. Velocity data is the foundation of demand forecasting — and it only exists in structured form inside FIRE.
Listing commitments from trade fair conversations. Promotional agreements from field visits. Volume confirmations from showroom sessions. Every commitment captured in real time — not reconstructed from memory on Monday morning.
Declining reorder frequency. Shrinking basket size. Categories explored but abandoned. These early warning signals flag at-risk listings weeks before a buyer formally delists — giving your team time to intervene.
Book a personalised demo for your use case.
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.