DiamondRevenueOSforB2Bdiamondsales
Sales run on managers’ memory and scattered spreadsheets — part of the base sits untouched for months, price and discount are set by eye, and deals leak through forgotten follow-ups. The AI keeps 100% of the base under regular touches and prepares a quote in minutes (pricing decisions stay with a human), cutting lost deals and lifting average margin.
An AI Revenue OS for B2B diamond sales (IQ Diamonds) — 5 modules from Product to Revenue Intelligence. The AI runs leads, touches, qualification and quotes; pricing decisions stay with a human.
The cost of manual work
Sales run on managers’ memory and scattered spreadsheets — part of the base sits untouched for months, price and discount are set by eye, and deals leak through forgotten follow-ups.
What AI changes
The AI keeps 100% of the base under regular touches and prepares a quote in minutes (pricing decisions stay with a human), cutting lost deals and lifting average margin.
Operating model
- Sales run on managers and spreadsheets
- Price and discount are set by hand
- Part of the base sits untouched for months
- The AI runs leads, touches and qualification
- A quote is prepared in minutes
- Pricing decisions stay with a human
How we built it
Diagnostic
We mapped the sales process: the base, touches, pricing. We locked the outcome metrics: share of the base under touches and quote speed.
Prototype on real data
The first working loop on the real deal base — from leads to quotes — within 1–6 weeks.
Production & support
We took 5 modules from Product to Revenue Intelligence into production: 100% of the base under touches, quotes in minutes, pricing decisions with a human.
What came out
Igor Golikov
Vitaly Kust
AI for the Fortuna Group mall network
The mall portfolio is managed by hand and reporting arrives weeks late — a tenant’s dip or a traffic drop is spotted after the money is already lost, and without e-document workflow paperwork bogs down. The AI brings the whole portfolio onto one screen and catches deviations the same day, turning after-the-fact reports into real-time management and protecting the network’s revenue.
