Which e-scooter model delivers the highest uptime across your operator network? Which European city reduced fleet orders this quarter? Is the cargo e-bike segment accelerating faster than standard commuter bikes? How many operators are evaluating competitor models? FIRE Analytics shows operator-level, vehicle-level, city-level, and battery-level intelligence — updating in real time across your entire European distribution footprint.
FIRE Analytics does not require a data warehouse, a BI team, or an ETL pipeline. It reads directly from the structured data layer that every FIRE product feeds into — giving you real-time intelligence without any additional infrastructure.
Which products are accelerating? Which are slowing? See demand trends at the SKU level in real time — not weeks later in a report. Spot a trending product before it appears in order totals.
How are your retailers engaging? Who is browsing more but ordering less? Who has stopped visiting the portal? Engagement analytics that predict future ordering behaviour.
Track a collection from showroom presentation to final sell-through. Which categories resonate? Which products underperform? Compare sell-in against targets — live, not after the season ends.
Declining order frequency. Reduced portal visits. Skipped collection presentations. FIRE Analytics aggregates these signals into a buyer health score and alerts your team before an account is lost.
Compare performance across markets, regions, and sales territories. Which regions over-index on certain categories? Where are the growth opportunities? Data-driven territory planning.
A buyer browses the portal, discusses products with your rep, and orders at a IAA Mobility München. FIRE Analytics connects these touchpoints into one buyer journey — across FIRE Sales Table, FIRE Sales App, FIRE B2B Portal, FIRE Digital Showroom, and FIRE Remote.
Traditional business intelligence requires data warehouses, ETL pipelines, and a team to maintain them. By the time you see a report, the data is weeks old. And it only shows what was ordered — not what was browsed, compared, or abandoned.
FIRE Analytics reads directly from the platform's structured data layer. No data warehouse needed. No ETL. No BI team. The data is live because it flows from the same system your team and buyers use every day.
More importantly, FIRE Analytics shows you data that traditional BI tools cannot access: browsing behaviour from the FIRE B2B Portal, presentation engagement from FIRE Sales Table, visit intelligence from FIRE Sales App, showroom interaction from FIRE Digital Showroom, and session data from Remote.
FIRE Analytics does not show you reports. It answers questions — the questions that mobility brands need to answer every day but currently cannot without weeks of spreadsheet work.
"Which top-20 accounts have not restocked within their normal cycle?"
"How is the SS26 lip collection performing vs. the SS25 launch at the same point?"
"Which products are discovered on the portal but ordered through the sales team?"
Generic analytics tools show revenue and orders. FIRE Analytics shows product velocity, collection lifecycle performance, and buyer segmentation — the metrics that actually drive mobility brand decisions.
Which products are accelerating? Which are declining? Track velocity per product family across all channels — portal browsing, Sales Table presentations, and orders. Identify trends before they appear in sales reports because the data includes browsing and comparison behaviour, not just purchases.
See how each seasonal collection performs from launch to end of life. Compare SS26 vs SS25 sell-in at the same point. Identify which launch formats work best — pre-order windows, IAA Mobility München exclusives, or phased rollouts. Data-driven decisions for your next season.
See how your buyer segments behave differently. Which tier orders the broadest assortment? Which tier has the shortest restock cycles? Which tier responds most to new collections? Tier intelligence turns your sales strategy from one-size-fits-all to data-driven segmentation.
FIRE Analytics turns every sales interaction into real-time intelligence — across all six products, all channels, all markets. No data warehouse. No ETL. No delay.
Book Your Analytics DemoFriday morning, product review meeting. Instead of waiting for the monthly Excel report, the Head of Product opens FIRE Analytics. The new matte lip line is outperforming last season by 31%. But the products are underperforming in Southern Europe. The decision to adjust the marketing push is made in the meeting — not three weeks later.
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.
We used to wait three weeks for a sell-through report. Now I see product velocity in real time across all channels.
The churn early warning saved us. We caught a declining account pattern three months before quarterly reviews.
FIRE Analytics reads from the same data layer as all six products — giving you a unified view of your entire wholesale operation.
Book a personalised demo — integrated with your ERP in 20–40 days.