Optimising dark store location strategy for a Johannesburg-based retailer to improve delivery coverage and reduce fulfilment costs
CASE STUDY AT A GLANCE:
THE CHALLENGE:
A Johannesburg-based retailer struggled with inefficient dark store placements based on legacy sites and intuition. This resulted in inflated delivery costs, overloaded physical retail stores, underserved demand pockets, and missed delivery SLAs.
LOOP'S SOLUTION:
Loop implemented a data-driven geospatial strategy. By combining order density mapping, catchment radius simulations, and real-world driving distance analytics, they evaluated potential locations based on true coverage reach and fulfillment costs rather than straight-line assumptions.
CUSTOMER OUTCOME:
The retailer pinpointed the Hyde Park, Sandton, and Illovo corridor as the optimal operational zone. This secured 60–75% demand coverage within an 8–10km radius, significantly reduced fulfillment costs, relieved capacity pressure on physical outlets, and identified flexible alternative sites for future expansion.
Customer and Project Overview
A leading South African retailer wanted to optimise its Gauteng-based dark store location strategy and last-mile delivery to improve logistics efficiency and performance without straining budgets or existing outlets.
A leading South African retailer wanted to optimise its Gauteng-based dark store location strategy and last-mile delivery to improve logistics efficiency and performance without straining budgets or existing outlets.
Dark stores require deliberate placement that prioritise proximity to demand density, lease economics over prime real estate, and accurate coverage mapping to reduce dead zones between nodes. Designing an optimal strategy depends on the product
The Challenge
Maximising customer coverage without increasing costs.
CHALLENGE 1
Misaligned locations
Dark stores are often based on legacy sites or intuition, which leaves key demand pockets underserved while others are oversaturated and this can weaken coverage and consistency.
CHALLENGE 2
Inflated unit economics
Suboptimal site locations can increase average delivery distances and time of delivery, which increases courier, fuel and labour costs per order and puts pressure on already thin margins.
CHALLENGE 3
Retail store overload
When dark stores are not well positioned, physical outlets absorb more online orders and this then creates in-store congestion, slower service and reduced flexibility during peak periods.
CHALLENGE 4
Service gaps and SLA risks
Poor network design makes it challenging to hit promised delivery windows and this can lead to delayed orders, inconsistent service levels and increased customer churn
The primary objective was to identify optimal dark store locations that maximise delivery coverage, reduce fulfilment costs and release capacity pressure on physical retail outlets.
Loop’s Solution
Evidence and data-based location analysis for optimised dark store network placement
Loop combined demand data, geospatial analysis and simulation modelling to identify where dark stores would deliver the greatest coverage and operational efficiencies. This analysis included order density mapping, catchment radius simulations and isochrone analysis based on real-world driving distances and data.
The approach gave Loop the ability to evaluate potential locations against measurable criteria that included coverage reach, fulfilment costs and demand absorption capacity. As a result, the retailer gained a clear, evidence-based view both optimal and sub-optimal locations.
These recommendations were then backed by simulations that explored coverage, cost and order redistribution to ensure that locations were selected based on data-led insights rather than on assumption or proximity.
The Process Involved
Demand data analysis
Order density mapping
Catchment radius simulation
Isochrone analysis using real-world driving distances
Location comparison and recommendation
Catchment and coverage modelling
Loop mapped order density across the target area to identify where customer demand was most concentrated, establishing an evidence base for location evaluation.
Loop mapped order density across the target area to identify where customer demand was most concentrated, establishing an evidence base for location evaluation. Demand patterns were visualised spatially to surface high-volume clusters and highlight zones where a dark store would have the greatest coverage impact.
Loop modelled how different candidate locations would perform in terms of customer reach, testing which zones could capture the highest share of demand within viable service distances.
Using real-world driving distances and patterns rather than straight-line estimates, we assessed how effectively each candidate location could serve surrounding demand within practical delivery time windows. Candidate sites were then evaluated against measurable criteria to produce evidence-based recommendations.
Customer Outcome
Optimised delivery performance with evidence-based dark store network placement
The analysis provided by Loop provided the retailer with a defensible, data-backed foundation from which it could establish an optimised dark store network in Johannesburg. Simulating coverage, cost and order distribution across multiple configurations allowed the retailer to see how different locations would perform across both customer reach and unit economics before they had to commit to leases or fit-outs.
As a result:
The Hyde Park, Sandton and Illovo corridor was identified as the optimal operation zone as it balanced high-demand density with strong road connectivity and access to key target customer segments.
Coverage of approximately 60-75% of demand within an 8-10km radius, which enabled faster delivery, shorter routes and more consistent service levels for priority suburbs.
Reduced fulfilment costs were felt through shorter travel distances and more efficient routing, directly supporting lower cost-per-order while maintaining and improving delivery promises.
Lower operational pressure on existing physical outlets with dark stores acting as capacity release valves so the retail stores could focus on walk-in trade and optimising the in-store experience.
The identification of viable alternative locations that included Craighall and Craighall Park, which has given the retailer increased flexibility when considering phase expansion and when managing risk or adapting the network to meet changing demand patterns.
Let's build your last-mile advantage together.
Speak to Loop's team and discover how we can tailor our delivery management software to your needs.
