OBI unifies European demand planning with Blue Yonder

OBI Group is consolidating demand planning and replenishment across its European operations through Blue Yonder, replacing multiple existing systems with an integrated platform intended to support more than 660 stores in ten countries. The German home and garden retailer has begun implementing the technology across its stores and distribution centres, with machine-learning forecasting and automated replenishment forming part of the programme.

The implementation brings demand forecasting and inventory replenishment into a shared planning environment, replacing separate processes that have developed across OBI’s international network. Blue Yonder Professional Services has worked with OBI to establish forecasting models for different product assortments, standardise operating procedures, and transfer technical knowledge to the retailer’s employees. The companies have not disclosed the overall contract value or a timetable for completing deployment across every store.

OBI operates in Germany and nine other European countries: Austria, Bosnia and Herzegovina, Czechia, Hungary, Italy, Poland, Slovakia, Slovenia, and Switzerland. Its network combines large physical retail locations with digital customer services and product ranges covering home improvement, building materials, and gardening. Planning demand across those markets requires systems capable of accommodating different buying patterns, supplier arrangements, and delivery requirements.

Seasonality is particularly important in home and garden retail. Demand for outdoor products, landscaping materials, and gardening equipment can change substantially during the year, while building and maintenance products may follow different purchasing patterns. Regional weather conditions and local promotional activity add further variation. A forecast developed for one market or product category may therefore be unsuitable for another, even where the same item appears in both assortments.

The Blue Yonder programme uses forecasting models tailored to these differences rather than applying a single demand pattern across the entire network. Its machine-learning capabilities can identify relationships within the available planning information, while the wider platform connects the resulting estimates with replenishment decisions. The companies have not specified which data inputs are used for individual forecasts or published a measured improvement in forecasting accuracy.

Demand planning determines the quantities of products expected to be required over a future period. Replenishment translates those requirements into decisions about ordering and moving stock, taking account of inventory already available and the time needed to obtain additional goods. Keeping the two activities connected reduces the risk of planners using inconsistent demand assumptions when determining requirements for warehouses and stores.

Inventory availability also depends on the relationship between supplier lead times and the rate at which stock is consumed. Products with longer replenishment periods may need to be ordered earlier than frequently delivered items, while bulky goods can place greater demands on warehouse and store storage capacity. The planning system must therefore accommodate differences in product dimensions, delivery cycles, and available space rather than treating every item as equally easy to replenish.

Consolidating systems across ten countries requires agreement on the information used to make those decisions. Product identifiers, stock records, purchasing histories, planning calendars, and replenishment rules must be sufficiently consistent to support shared processes. Differences between existing systems can complicate migration, particularly where individual markets have developed their own data structures or ways of managing inventory.

OBI and Blue Yonder addressed that work through a target operating model established before migration. The implementation team included subject-matter specialists and data scientists working alongside the retailer’s employees, allowing forecasting requirements and operational procedures to be developed together. Knowledge transfer formed part of the programme so that OBI could operate the new capabilities after the initial technical implementation.

Andreas Roesmann, SVP Supply Chain at OBI, described the preparation required. “A go-live of this scale is never simply smooth—it is real work, and it paid off because we built on a clean target operating model first and migrated into the solution in a structured way.” His comments distinguish the initial system introduction from the wider objective of securing benefits throughout the replenishment operation.

The distinction is reflected in the announced rollout. OBI has begun adopting the technology and has established a common planning foundation, while the eventual deployment is intended to extend across more than 660 stores. The announcement does not confirm that every location is already operating on the new platform or that all planned replenishment processes have been transferred.

Store replenishment requires more detailed decisions than simply determining a national inventory requirement. Individual locations may sell the same product at different rates, while the timing and quantity of deliveries can be affected by transport schedules and store receiving capacity. A connected planning system can support the allocation of stock according to those differences, provided its forecasts and inventory records remain sufficiently accurate.

Distribution centres have a corresponding role in determining how available goods are assigned to stores. Stock held centrally may need to be divided between competing replenishment requirements, particularly when supplier deliveries are delayed or demand exceeds expectations. Forecasting information can inform those decisions, but the physical quantity available and the capacity of the distribution operation ultimately constrain what can be dispatched.

Inventory buffers provide some protection against uncertainty, although maintaining additional stock ties up working capital and occupies storage space. Too little stock can produce unavailable products and missed sales, while excessive holdings create handling costs and exposure to changes in demand. Coordinating forecasts with replenishment is intended to improve those decisions, but OBI has not published reductions in stockholding, stockouts, or distribution costs attributable to the project.

Monique Rupert, Senior Vice President and General Manager, Professional Services at Blue Yonder, identified the operating complexity. “Getting demand planning right at that scale means navigating real complexity, like seasonal peaks, regional variation, and rapidly shifting customer expectations.” The implementation has been designed around those differences, with forecasting models and standardised processes developed through collaboration between the two organisations.

The platform may also support further changes to OBI’s supply chain systems. The companies have identified broader transformation opportunities as part of their relationship, although no additional deployment programme or investment commitment has been specified. The confirmed work concerns the integration of demand planning and replenishment, supported by Blue Yonder’s implementation and professional services capabilities.

OBI’s international operations will require continuing maintenance of forecasting models and planning information as assortments, customer behaviour, and supplier arrangements change. The programme establishes a common framework for those activities, with the completed deployment intended to connect demand decisions more consistently across distribution centres and stores. Its eventual operating results will depend on the extent of adoption and the performance achieved as additional locations migrate to the new platform.