Mette Zibrandtsen, Head of Ecommerce Sales at Matas

AI is transforming complex e-commerce operations, making forecasting faster, more accurate, and more scalable. In this video, you will see how Matas and Implement Consulting Group used machine learning to streamline processes, empower teams, and unlock value across the organisation.

Tackling complexity in e-commerce

Matas experienced rapid growth in its e-commerce business, creating complexities in order types, warehouse operations, campaign planning, and omnichannel fulfillment. Manual forecasting became increasingly time consuming and error prone. Leadership recognised the need for automation to maintain delivery promises and operational efficiency while keeping staffing levels constant.

Implementing machine learning with impact, speed, and scale

Together with Implement Consulting Group, Matas adopted advanced machine learning for forecasting. The technology allowed them to process historical data, incorporate campaign effects, and test new approaches quickly. The system can scale to new markets, freeing employees from repetitive tasks and allowing them to focus on value adding work and exception handling.

Building trust and sustaining adoption

The journey highlighted the human side of AI adoption. Teams initially struggled with trust and fear of losing control. By maintaining transparency, keeping human overrides, providing workshops, dashboards, and one-on-one support, Matas empowered staff to embrace the tools. Over time, employees started experimenting, improving algorithms, and generating new ideas, embedding AI into the organisation’s capabilities.