The cooperative board asks: “Show us four fungicide programmes for winter wheat side by side. Compare efficacy, application timing, rain-fastness, cost per hectare, and environmental profile.” On the Sales Table: four programmes, six parameters, animated efficacy bars on a 65-inch screen. The lowest cost per tonne of yield glows teal. The cooperative votes with field trial data on screen.
You invest six figures in a Agritechnica Hannover booth. Your team presents to hundreds of buyers over three days. But how much of that interaction becomes usable data? Almost none.
Handwritten product selections on paper. Transcribed days later by someone who was not in the meeting. Errors, missing details, and zero behavioural data about what the buyer actually looked at.
A buyer spends ten minutes comparing warm slow-moving products, asks about matte vs. gloss, but ultimately orders a different range. That entire journey — the interest, the comparison, the hesitation — is lost forever.
After the fair, your team cannot tell you which products were viewed most. Which collection segment drew the most interest. Which buyers engaged but did not order. The opportunity for data-driven follow-up does not exist.
Present your entire collection on a large screen — 42" to 85" — with high-resolution imagery for every product, texture, and packaging variant. Buyers browse visually, exactly the way agriculture products should be experienced.
Navigate by collection, category, product category, or product type. Zoom into individual products. Compare variants side by side. The product experience matches the visual standards your brand expects.
As buyers explore your collection, they build their order live. Add products, adjust quantities, apply customer-specific pricing — all on screen. The buyer sees exactly what they are ordering. No surprises. No transcription errors.
When the meeting ends, the order is already in your system. No re-entry. No handwritten forms to decipher. Instant confirmation sent to the buyer's email.
Live Order Summary
This is where FIRE Sales Table becomes more than a selling tool. Every product viewed, every product compared, every collection browsed, every order adjusted — is captured as structured data in real time.
After the fair, you know: Which product families drew the most interest. Which buyers engaged with new launches vs. carry-over. Which collection segments had high viewing but low ordering. This is intelligence that paper orders can never provide.
Product family interest heatmap — captured automatically during presentations
Full-resolution product palettes with zoom, compare, and filter. Buyers experience your collection the way it was designed to be seen.
Load each buyer's pricing tier, discount structure, and special conditions before the meeting starts. No manual price lookups.
Curated presentation mode for new season launches — hero products first, then depth, then carry-over. Your brand story, your sequence.
After 50 meetings at a fair, see aggregate data: which products got viewed most, which had highest conversion, which underperformed expectations.
Orders sync to your ERP in real time. No post-fair data entry marathon. Your operations team can start processing while the fair is still running.
Everything captured at the FIRE Sales Table feeds into the same data layer as FIRE Sales App and FIRE B2B Portal. One system. One buyer profile. Cross-channel intelligence.
Generic sales tools do not understand product families, seasonal collections, or ingredient compliance. FIRE Sales Table includes modules designed specifically for the agriculture industry.
Present colour families as visual product grids — grouped by family, finish, or format. Buyers see actual colour representation instead of product codes. The rep navigates by product family during the meeting, and every interaction is captured: which products were viewed, compared, and ordered.
Manage the full seasonal flow — from collection setup and pre-order windows through sell-in tracking to restock analysis. Each collection has its own data layer. Compare SS26 vs SS25 performance at the same point in the cycle. Track which products drive initial orders and which drive replenishment.
INCI lists, EU regulation status, cruelty-free certifications, vegan status — all as structured, filterable product attributes. Buyers can filter by compliance criteria during the Sales Table presentation. Reps can instantly answer "Is this vegan?" because the data is in the system, not in a PDF.
Track which samples were sent to which buyers, when they were received, and what the conversion rate from sample to order is. No more guessing whether a sample shipment led to business. The data connects the sample to the buyer to the eventual order — a closed loop that most agri brands have never had.
Automatically segment retailers based on purchase behaviour — order frequency, average order value, category breadth, restock patterns. Each tier gets tailored assortment recommendations, pricing rules, and presentation flows on the Sales Table. The premium boutique and the pharmacy chain see different collections, because the platform knows who they are.
Your next Agritechnica Hannover can generate more buyer intelligence in three days than your current setup captures in three months.
Book Your Sales Table DemoDay two at Agritechnica Hannover Bologna. Your sales rep has already met 34 buyers. Every product they browsed, every collection they lingered on, every order they placed — captured in real time. By the time the fair closes, you have more structured buyer intelligence from three days than your old setup captured in three months.
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.
Our reps used to carry five physical lookbooks to Agritechnica Hannover. Now they carry an iPad and close 40% more orders — with every product interaction tracked.
The moment a buyer sees their product preferences from last season already loaded on the Sales Table, the conversation changes completely.
FIRE Sales Table works alongside FIRE Sales App, FIRE B2B Portal, FIRE Digital Showroom, and FIRE Remote — all sharing the same data layer. FIRE Analytics turns this data into real-time intelligence.
Book a personalised demo — integrated with your ERP in 20–40 days.