How companies use data and AI to grow

A few implementation stories — from demand forecasting to AI assistants for analysts. This page is a work in progress: exact figures and details for some case studies are being finalized with clients and will appear soon.

This section is being filled in — some case studies are marked “coming soon”

FMCG An international personal care products manufacturer

Demand planning, pricing and discounts were scattered across dozens of Excel files held by different managers. We moved the process into a single system with automatic forecasting and a shared price history.

10×faster planning

Autodemand forecast

1price and discount history

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Jewelry manufacturing A full-cycle jewelry manufacturer

Weekly demand forecasting, planning in grams of metal, and daily revaluation of items against exchange quotes. AI separately calculates lost sales and their potential value.

7 daysforecast horizon

Dailyitem revaluation

AIlost sales

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Logistics An end-to-end warehouse and transport process

A legacy corporate system was replaced with a platform that connects transport, the yard, cargo and documents into a single process — statuses and slots are visible in real time.

8process steps

4connected services

SSCCpallet reconciliation

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Coming soon · Financial services An enterprise AI assistant for analysts

We are preparing a case study on rolling out an AI copilot for financial analytics: less time spent preparing reports and finding insights in data. Figures will appear once approved with the client.

Copy in progress

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