Case studies
Cencora
Better management of capacity, performance and quality across distribution centers
Every day, Cencora needs to balance workload, workforce capacity, productivity and quality across four distribution centers. Reliable and comparable operational data help turn this complexity into better-informed decisions.
4 distribution centers in 1 application
70,000 operational records per day
Czech Republic
Retail & distribution

46,000 globally
Otomar Mach
Deputy director of distribution center
Employee error rate monitoring
Employee productivity evaluation
Warehouse workforce capacity planning
Qlik Sense
Inphinity Forms
Problem
Cencora, formerly Alliance Healthcare, is one of the leading pharmaceutical wholesalers in the Czech Republic. Operating four distribution centers requires the company to balance expected workload with available workforce capacity every day, while also monitoring productivity and quality.
Workforce capacity planning was originally based on an Excel model developed for one branch. The model helped plan capacity based on expected workload, but it was not suitable for broader use across distribution centers. Data had to be updated manually, and the solution was difficult to scale.
At the same time, warehouse operations generated approximately 70,000 records per day. Evaluating performance, filtering employee data and turning the data into a management view therefore required a significant amount of manual work. Cencora needed a way to bring operational data together, process it automatically and use it to manage capacity, performance and quality across distribution centers.
Solution
EMARK helped Cencora connect operational data from four distribution centers and move planning and performance evaluation into a single centrally managed environment. Data from source systems is processed automatically, providing a unified view of capacity, productivity and performance across individual operations.
Users can plan the required capacity based on expected workload, monitor operational trends and compare performance across distribution centers. The solution also enables users to simulate different workload scenarios and tailor the view to a specific distribution center or user role.
Before
After




What we delivered
By filtering by distribution center, we can quickly see exactly what we need. In one application, we can dynamically change the view depending on which operation we are working with.
Otomar Mach
Deputy director of distribution center
More case studies
Let’s talk about your data.
Whether you are working on planning, reporting, or AI, we will recommend the next step that makes sense in the context of your business.
More case studies
Let’s talk about your data.
Whether you are working on planning, reporting, or AI, we will recommend the next step that makes sense in the context of your business.
