Empowering end-users beyond BI and leveraging Machine Learning

Does your organisation or your product managers:

• Have a manual process of monitoring store supplies and actual sales?
• Need to manually update sales estimates and consolidate with their own forecasts?
• Struggle to align all changes cross-category?
• Often get questions like ‘Can we trust the numbers?’
• Struggle to store historical forecast results and monitor operations with a user-friendly interface?

During this talk, Data Analytics & Looker expert Anh Vu will address the conceptual design and development process, as well as technical learnings from building an interactive demand forecasting in-app experience, using one central BI platform with integrated Machine Learning capabilities.

You'll learn about our development process at CTS, the solution architecture and what we learned from building a solution that allows store owners to actively request changes to forecasted figures, and category managers to review and approve the adjustments accordingly.

Our audience should come away from this session with an understanding of:

• A modernised approach to improve stock management operations and how that will save costs & efforts;
• How to improve the accuracy of forecasting results so that products can be allocated more efficiently.

Wil jij deze en meer inspirerende lezingen volgen? Meld je gratis aan voor de Big Data Expo op 14 & 15 september 2022 in Jaarbeurs Utrecht.