A leading FMCG distributor in Eastern Europe with over 15,000 SKUs across 30+ markets and own brands in food, beauty, and household categories.
The company employs more than 500 people across export, marketing, and product teams, operating in multilingual markets from Europe to Asia.
The client faced a recurring operational bottleneck: teams were constantly re-asking the same questions about products, translations, and classifications.
Information existed — but scattered across folders, ERPs, and PDFs, without a single access point.
“We didn’t lack information. We lacked structure.”
— Head of Export Marketing
Daily requests included:
The result was inefficiency, inconsistent terminology across regions, and risk of classification errors in exports and listings.
Time Waste:
Employees spent up to 40 minutes per request searching or waiting for confirmation.
Errors in Catalogs:
Small translation mistakes (“biscuit” vs. “sponge cake”) caused re-work in catalogs and even customs documents.
Fragmented Communication:
Different teams described the same SKU differently — confusing buyers and partners.
Knowledge Bottlenecks:
Critical expertise was held by a few specialists, creating dependencies and slowdowns.
Managed Code designed a custom Copilot that allows employees to:
The system connects to the company’s internal sources — including Drive, SharePoint, ERP, and CRM — and interprets requests contextually, not just by keyword.
“It’s like asking the one colleague who always knows the right answer — except now everyone has access to them.”— Project Manager
The Copilot uses secure API connections and stays fully contained within the client’s infrastructure.
70% of internal queries handled automatically
Average response time: 6 seconds
Unified glossary for 10+ markets and product lines
Self-improving accuracy based on employee feedback
Data protected within the company’s private cloud
“Our teams no longer chase files — they get answers.”
— Export Manager,
The project proved how conversational systems can solve practical operational problems inside large organizations — by connecting teams, data, and language into one intelligent workflow.
It became a repeatable framework that can be applied to other corporate areas — such as HR, logistics, or finance — where teams depend on shared but fragmented knowledge.