Products look different on your website than in stores, confusing shoppers and hurting conversion. Your fragmented data makes content creation harder and limits product discovery for your frustrated customers, preventing AI from delivering accurate recommendations.

Your teams waste time on manual data entry and corrections. New products take too long to onboard, inventory is stuck in warehouses and you can't adjust quickly to market changes because of broken data processes that also undermine AI forecasting.

You struggle to track supplier compliance and product movement. Communication gaps lead to procurement errors and inconsistent data across departments makes it impossible to report accurately on your supply chain performance or enable AI-driven risk predictions.

Your AI initiatives keep failing because they are built on poor-quality data. Your systems can't handle the volume of information needed for effective AI models.

We gather all your product, customer and supplier data into Stibo Systems MDM platform, which acts as your central data hub.

Instead of chasing information across multiple systems, you get a single point of truth that connects to all your existing applications.

Your data gets standardized, enriched and validated to ensure high quality across all information types.

We establish data ownership rules, implement validation checks and create workflows that maintain quality automatically as new information enters the system.

Your clean, trusted data flows directly into Microsoft Fabric, making it immediately available across the Microsoft ecosystem.

You don't need complex ETL processes or data warehousing projects – the integration happens seamlessly in the background.

Use your high-quality data to build effective AI models that drive personalization, optimize inventory and enhance customer experiences.

Because your data foundation is solid, your AI initiatives deliver reliable results instead of generating errors and confusion based on inconsistent information.

The data challenge

The major European electronics retailer's product specs didn't match across systems. Store staff saw different information than website teams. Customers got confused when online details didn't match what they found in stores.

Achieved with MDM

The company built one central product database that feeds accurate information to all its sales channels. Now when something changes, it updates everywhere at once.

Enabled with AI

The company created smart product classification tools that sort new items automatically. Its AI also helps shoppers find the right technology by answering specific questions about products and compatibility.

The data challenge

With thousands of items across hundreds of categories, its product information was a mess. Different departments maintained separate spreadsheets and systems.

Achieved with MDM

They unified everything - from website listings to shelf labels and inventory systems. Staff now trust that product information is accurate no matter where they look.

Enabled with AI

Its system now predicts which accessories go with products, suggests related items and catches data errors before they cause problems. Customers get consistent information whether shopping online or asking store staff.

The data challenge

For the global, US-based, office supplies retailer, getting new products into its system took six weeks of tedious data entry. The teams wasted time copying information between systems instead of focusing on customers.

Achieved with MDM

The company connected directly with 600+ suppliers who now send product data straight into its central system. What took weeks happens in days.

Enabled with AI

AI now writes product descriptions automatically from basic specs. The company's website search understands normal language instead of requiring exact product codes. A digital assistant helps customers find exactly what they need for their offices.