Our custom-developed AI is integrated directly into ArcGIS, producing immediate results that serve as valid indicators for sound decision‑making.
Kai Benzing
ALDI SÜD’s Manager for Store Network Analytics
BUSINESS GROWTH
Growing in Tight Markets, ALDI SÜD Maps a Data-Driven Site Strategy
Location-based analysis reveals ideal store locations
For grocers, expansion needs to be a sure bet. A poorly sited store can significantly underperform projections. In Germany, long‑term lease commitments leave little room for adjustment once a decision is made. Each new location is a high-consequence decision.
That environment shapes growth for ALDI SÜD in its home market where it already operates over 2,000 store locations. German shoppers are purposeful in how they plan their trips. Many prefer to complete several errands at once—often on foot. Stores that sit along natural walking paths or cluster with complementary destinations have an advantage.
But here’s the real challenge. Urban areas offer very little undeveloped land. Managing zoning, sustainability requirements, and architectural limits adds constraints. Expanding into rural areas may not provide sufficient consistent demand for a new store. Growth depends on aligning customer behavior, access, and physical feasibility. Viable spaces exist—but not at first glance.
Accessibility analysis of Munich shows travel distance to ALDI stores in minutes.
Disciplined site selection means picking sites that are easy to run, work well for local shoppers, and won’t hurt the performance of stores you already have nearby. Geographic information system (GIS) technology helps ALDI SÜD understand who lives nearby and how they move through the area. Layers of demographic data, traffic patterns, accessibility analyses, and competitive presence give planners a sharp picture of neighborhood dynamics at street level.
“Data-driven analyses continuously open up new possibilities to make our locations more intelligent, attractive, and sustainable,” said Kai Benzing, ALDI SÜD's manager for store network analytics. “Our custom-developed AI is integrated directly into ArcGIS, producing immediate results that serve as valid indicators for sound decision‑making.”
Mapping transaction and loyalty data, for example, reveals catchment areas around existing stores—insight that, combined with demographic patterns, predicts sales potential for unconventional sites.
Design choices reflect each community’s distinct needs
Sustainability factors into every decision. German consumers expect grocery stores to integrate aesthetically into their neighborhoods, not dominate them. ALDI SÜD uses GIS to simulate how design choices—adding EV charging stations, incorporating green space, adjusting building materials—might impact sales potential and community acceptance.
In tight urban spaces, promising locations often require custom layouts. Planners commonly adapt floor plans to irregular parcels, mixed-use developments, and urban constraints like limited ceiling heights or shared building access—all while preserving ALDI’s trademark lean store operation. ALDI SÜD can model different scenarios before they commit. Does adding EV infrastructure attract more customers, or does it create parking friction? Maps show trade-offs they couldn't see otherwise.
“Our store concepts are always tailored to local conditions and needs,” said Nils Reithmann, director of portfolio management and cooperation. “With Esri technology, we gain early insights into areas with strong growth potential.”
Whether grocers are expanding in competitive or constrained markets, mapping gives retailers an edge: They are faster to market where they fit best.
