The data warehouse project was linked to the customer data quality project. The new DWH collects and centralizes data from 4 IKEA stores in the Czech Republic, 2 in Hungary, and 1 store in Slovakia. The solution runs in the cloud accessible via VPN, i.e., secure, and is provided to the customer as a service.

The entire project - from the design of the data warehouse to the creation of the web-based customer portal - took just 7 months.

From the logistics center in Mladá Boleslav, containers loaded with pallets of parts for car assembly abroad are shipped daily. However, finding new loading combinations was becoming increasingly difficult. By deploying optimization algorithms wrapped in OPTIKON and digitizing the loading planning process, we achieved the following together:

• €840,000 in savings in the first year of use,
• a reduction in dispatches of 300 containers in the first year of service,
• reducing the time taken to select the right pallet combination to 30 seconds,
• saving 162 tonnes of CO2 emissions,
• facilitating the training process for new staff,
• the possibility of detecting systemic packaging errors.

ŠKODA AUTO wants to offer the OPTIKON system to other brands within the Group so that they can also benefit from the advantages of artificial intelligence.
 

Good beer must not only be brewed well but also offered to customers in appropriate ways according to their preferences. Therefore, Plzeňský Prazdroj was looking for a technological solution to continuously measure customer behavior in stores and interest in the brand's goods on display.

For this project, the company approached Adastru, which developed a unique solution for the domestic market that uses smart sensors and smart scales placed on pallets, racks, and refrigerators. The system allows for monitoring in different parts of the store where customers most often take goods from or are not interested in them. In cooperation with the retailers, Prazdroj can optimize the offer and placement of goods on the sales floor, which is also beneficial for the store. The benefit for the customer is that they will find their product exactly where they expect it and in the form they prefer.

Read the full case study.

MONETA Money bank has relied on Adastra for more than 15 years. Adastra was at the birth of its data platform, developed in cooperation with the bank, and knew it to the smallest detail. This is also why MONETA turned to her to take on the role of data integrator to consolidate regulatory reporting to the CNB.

During the first six months of the project, Adastra integrated customer, product, and other necessary data from Wüstenrot's enterprise systems into the new owner's data platform. It began generating consolidated reports for the MONETA Stavební spořitelna and MONETA Money Bank entities on top of the newly created, consolidated database. MONETA's regulatory reporting delivered the first close report for the CNB in cooperation with Adastra in 10 months.