Case studies

Cencora

Cencora unified warehouse capacity planning and gained faster control over distribution center performance

The pharmaceutical distributor moved from limited Excel-based planning to a modern Qlik Sense application that enables capacity scenario simulations in seconds, daily operational performance evaluation, and scalable use across distribution centers.

4 distribution centers in 1 application

70,000 operational records per day

Plánování kapacit ve skledu

Czech Republic

Retail & distribution

46000 globally

Voice of the customer
Otomar Mach

Otomar Mach

Deputy director of distribution center

Use cases

Employee error rate monitoring

Employee productivity evaluation

Warehouse workforce capacity planning

Technologies used

Qlik Sense

Inphinity Forms

Download the case study as a PDF

Problem

Cencora, formerly Alliance Healthcare, is one of the main pharmaceutical wholesalers in the Czech Republic. Workforce capacity planning in the warehouse was originally based on an Excel model created for a single branch. The model helped plan capacity according to the expected workload, but it was not suitable for broader use across distribution centers. Data had to be updated manually, and the solution was not easy to scale.

At the same time, warehouse operations generated a large volume of detailed data. In the employee performance application, around 70,000 records were processed per day on average, as every employee pick represented one row in Excel. Evaluating performance, filtering employees, and transforming the data into a management view became unsustainable in this structure. Cencora therefore needed a more sustainable and centrally managed solution that would unify operational data, simplify sharing, and enable work as well as manual inputs across distribution centers.

Solution

EMARK transferred the original Excel model into Qlik Sense, creating a centrally managed, scalable solution for capacity planning and operational evaluation of distribution centers. Data is automatically loaded from source systems, transformed in Qlik, and used by users in an application where they can simulate capacity scenarios, monitor the development of warehouse work, and evaluate performance in a unified environment that writes everything to the DB and maintains a clear change log.

Before

Excel as the main tool for warehouse capacity planning
Manual data updates and operational record handling
Solution designed primarily for one distribution center
Limited sharing and complex warehouse performance evaluation

After

Qlik Sense application for capacity planning and operational reporting
Automatic processing of data from source systems
Ability to simulate scenarios using what-if analysis
Unified view across all distribution centers and employees

What we delivered

Automatic data loading from source systems
ETL data transformation directly in Qlik Sense
Capacity planning based on warehouse workload volume
Transparent tracking of data interventions and change traceability
Use of historical data and statistical metrics for capacity calculation
What-if analysis for fast simulation of different workforce workload scenarios
Expansion of the solution from one distribution center to all distribution centers
Role-based views for employees, shift leaders, warehouse teams, and management
Infinity Forms for adjustments, data cleansing, and operational exception management

“By simply filtering for a 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

Otomar Mach

Deputy director of distribution center

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Whether you are working on planning, reporting, or AI, we will recommend the next step that makes sense in the context of your business.

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.