Your ERP knows what was ordered. But it does not know which materials were browsed, which gemstone grades compared, which movements considered, or which price points triggered memo requests instead of purchases. That is 87% of retailer intent — invisible. A data strategy for jewellery wholesale starts by capturing what happens before the order.
Each season adds intelligence. Each layer makes the next one more powerful.
Material preferences, gemstone grades browsed, ring size patterns, memo vs. purchase ratio, content engagement. First structured data layer from Inhorgenta + portal + showroom.
Patterns emerge: Tier 1 favours F/VS1. Silver chains reorder every 3 weeks. Platinum memo converts at 41% vs. 78% for 18kt gold. Heritage content drives 2.4× pre-order lift.
Co-Pilot pre-fills assortments per retailer. AI forecasts material demand: 18kt rose +18% in Nordics. Lab-grown interest +12% in Americas. Memo allocation adjusted by data.
Collection planning by data. Production aligned with structured demand signals. Memo returns reduced by 40%. Market-specific material and gemstone strategies. The intelligence asset is now your competitive moat.
Which materials each retailer browses, compares, and orders. 18kt white vs. rose. Platinum vs. gold. Silver volume patterns. Per tier, per market, per season.
4C grade preferences per retailer. GIA vs. IGI trust. Lab-grown vs. natural interest by market. Carat weight sweet spots. Origin sensitivity for fine jewellers.
Which calibres drive orders. Power reserve expectations. Complication interest per market: GMT for Middle East, moonphase for Europe. Case size trends.
Which items convert on memo. Average days to sell. Return rates per material and price point. Platinum converts 38% slower — data that changes allocation strategy.
Size distribution per material, per market. Middle East skews 54+. East Asia centres on 48–52. UK uses letter sizing. Data that prevents overproduction of wrong sizes.
Heritage film watchtime correlated with pre-order value. Gemstone macro engagement per retailer type. Movement animation dwell time. Data that drives content investment decisions.
A dashboard that shows “18kt white gold sold well last season” is history. A data strategy that tells you “18kt rose is trending +18% in Nordics, and retailers who browsed it at Inhorgenta have a 72% conversion rate on the portal” is intelligence. The difference is structured interaction data captured before the order.
In jewellery, this intelligence is uniquely valuable because the product matrix is deep: materials, karats, gemstone grades, certifications, ring sizes, and ordering modes (memo vs. purchase). Without structured data across these dimensions, collection planning relies on trade fair impressions and gut feeling.
FIRE captures data across all six dimensions, from all six selling channels, for every retailer interaction. After four seasons, that data asset is deep enough to power AI-driven collection planning, memo optimisation, and market-specific material strategies. The brands that build this asset first own the intelligence advantage.
Materials, gemstones, movements, memo patterns — structured data that compounds.
Build Your Data StrategyTell 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.
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