Case Studies

A typical situation: the bank invests in acquisition but loses 30–40% of leads on the way to account opening. The cause is the gap between CRM and core banking. The solution is integration, not replacement.

Typical problem: 6–8% monthly churn, marketing firing blind, support doesn't know the customer. Cause — subscriber data scattered across 5–7 systems and nobody sees the full picture. Solution — an integration layer, not a new system.

Typical problem: retail chain launched an online store but it lives separately from offline. Inventory doesn't match, 40–50% of carts are abandoned, the client sees two different companies. Solution — integration, not a new website.

A classic pain: the bank attracts SME clients but account opening takes 3–5 days — and 30–40% of applicants leave without waiting. The cause is not technology but organizational gaps between departments.

Classic problem: loan applications take 2 weeks to process; clients leave for competitors. The cause — the bank digitized a paper process without redesigning it. The right approach: reengineering first, then automation.

Common problem: the operator sells through 200–300+ dealer points but can't see real sales and pays commissions based on dealer-reported data. Result — 8–12% fraud and loss of control. Solution — a portal connected to billing.

Agencies drowning in paper: thousands of documents, weeks-long approvals, lost files. We explain why the first attempts to implement EDMS fail and how to configure the system to reach 94% adoption.

Citizens visit 3–5 agencies for a single permit, collecting dozens of certificates. We explain why a 'one-stop shop' doesn't solve the problem and how to build real inter-agency integration — from 3 weeks to 2 days.

Hundreds of agents working blind: calculating premiums from outdated tables, no client history, waiting days for an underwriter. We explain how to build an agent portal with automated underwriting — policy issuance in 15 minutes, loss ratio down 18%.

The plant doesn't know its real cost of production — ERP calculates by standards, foremen enter data from memory. We explain how an MES pilot on one line reveals the real picture and why cost of production is often 20%+ above plan.

A retailer issued hundreds of thousands of loyalty cards — and doesn't know its customers. Flat discount on everything, mass mailings, 0.3% conversion. We explain how to turn data into knowledge and increase average ticket by 28%.