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Location intelligence for retail

Better locations.
Sharper unit economics.

Space SBI gives retail operators the precise, place-based intelligence they need to choose, size, and operate stores that actually earn their cost of capital.

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What we do

Insight at the resolution of a city block.

We combine proprietary spatial data, mobility signals, and your own operating data into a single source of truth for every retail decision — delivered as a connected stack of capabilities you can adopt one at a time, or compose end to end.

01

Best Location & Coverage

Hyper-local trade-area modeling, candidate-site scoring, and network-level coverage analysis tied directly to unit economics — every recommendation underwritten by real demand geography and defensible contribution margin per location, with sensitivities your finance team can stand behind.

02

Revenue & demand forecasting

Site-level sales, footfall, and demand forecasts that fuse mobility, demographics, competition, and your own performance data — delivered with confidence intervals you can plan against.

03

Customer segmentation & targeted marketing

Place-based segmentation that connects who your customers are with where they are — so every campaign lands closer to revenue.

04

Supply chain & last-mile optimization

Optimize warehouses, dark stores, and last-mile nodes against real demand geography — including emerging drone and aerial delivery layers planned around airspace, demand density, and operational constraints.

05

Competitive intelligence

Monitor competitor footprints, openings, and catchment overlap in near real time to defend share and identify under-served white space.

06

Smart city & public sector solutions

Location analytics, spatial data infrastructure, and planning support for municipalities and NGOs — from pedestrian-priority street studies to district-wide GIS systems.

How it works

Business intelligence, with a spatial dimension.

We help businesses make smarter decisions through the strategic use of spatial intelligence — extending the analytics you already trust with the layer that explains where demand actually lives.

  1. 01

    Actionable geo-analytics

    We leverage geographic data and cutting-edge analytics to turn raw location signals into decisions your operators can act on.

  2. 02

    Spatial layer on your data

    We embed spatial data directly into your existing analytical processes — no parallel stack, no rebuild — so every dashboard gains a location dimension.

  3. 03

    Built with your data team

    We deliver geo-analytical projects hand-in-hand with your data and analytics team, transferring know-how as we go.

  4. 04

    Competitor spatial intelligence

    We surface where your competitors are winning, opening, and overlapping — so you can defend share and move on white space first.

  5. 05

    Spatial inputs for ML & modeling

    We feed location-based features into your machine learning and modeling pipelines, producing sharper market strategies and location-based insight.

Case studies

Selected projects.

Click a project to expand its full story — challenge, approach, models, and outcome — all on the same page.

Location-based growth for a green delivery startup

Vego is a vegan and vegetarian food-delivery startup operating an electric courier fleet on the Asian side of Istanbul. To scale sustainably, they needed to know exactly which neighborhoods to enter next — and in what order — to unlock the most profitable growth.

Challenge

A growing operation with no spatial visibility into where loyal versus churning customers clustered, and no data-driven way to choose new service areas for its restaurant network.

Approach

We standardized internal order data alongside open demographic and competitor datasets, then ran spatial RFM analyses on order frequency, basket size and total spend to segment customers by location.

Models

Two parallel growth scenarios — one weighted toward residents, one toward daytime workers — were correlated to surface priority expansion zones and forecast service-area profitability for restaurants in the network.

Outcome

A prioritized expansion roadmap, restaurant-level service areas, and a supply-chain network optimization plan — now powering Vego's next investment round and growth strategy.

Project visuals

From the case study

Operating context — Vego's electric courier network across the Asian side of Istanbul.
Spatial RFM analysis segmenting customers by order frequency, basket size and spend.
Correlated growth model — green tones mark priority expansion zones across districts.
Restaurant-level service areas with forecasted profitability in target districts.

Founders

Built by operators of spatial intelligence.

Space SBI is led by two urban planners who have spent their careers turning location data into operating decisions — across global quick commerce and the planning of one of the world's most complex cities.

Portrait of Jafar Najafli

Jafar Najafli

Co-founder · Senior Manager, Location Intelligence at Delivery Hero

Connect on LinkedIn

Originally from Azerbaijan, Jafar studied City and Regional Planning at Yıldız Technical University and earned his master's at Istanbul Technical University with a thesis on data-driven decision making in urban governance. He began his career as a GIS specialist at KEYM — Turkey's leading urban planning and transformation firm — where he led the GIS groundwork for major urban design and transformation projects, including project lead on an urban transformation program in Tashkent, Uzbekistan, and the development of a web-based mapping system. He went on to become GIS-Based Operations Manager at Getir, leading a 10-person team that identified optimal locations and service areas for the instant-delivery model across 9 countries on 3 continents. Today he serves as Senior Manager for Location Intelligence in Business Development at Delivery Hero, the world's largest quick-commerce company, operating in 65 countries. Jafar speaks 5 languages, including Russian and English.

Location intelligenceGIS & 3D GISQuick commerceNetwork design
Portrait of Melih Yılmaz

Melih Yılmaz

Co-founder · Spatial Planning & Urban Design Projects Coordinator, Fatih Municipality

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Originally from Istanbul, Melih studied City and Regional Planning at Yıldız Technical University and completed his master's in Urban Space Organization & Design at the same university with a thesis on energy efficiency and traditional housing texture. With more than 10 years of experience in spatial planning and spatial data analytics, he has worked across real estate valuation, urban development and private practice — including a Project Coordinator role at İlke Planning, Turkey's leading private planning office, leading environmental, master, implementation, conservation and urban renewal projects across the country. Since 2019 he has been at Fatih Municipality's Plan and Project Directorate, where he served as Project Manager on numerous Historical Peninsula initiatives — most notably the Fatih District Spatial Strategy Plan — and is today the Spatial Planning and Urban Design Projects Coordinator. Between 2021 and 2023 he advised SO Urbanism, and in 2023 became founding partner of MESE Urban Lab and Space SBI.

Spatial planningUrban designSpatial data analyticsProject leadership

Contact us

Let's map your next growth move.

Reach out to our Berlin or Istanbul team — we'll get back to you within one business day.

Headquarters

Berlin

+49 1512 9187037
Branch

Istanbul

+90 555 897 18 28
General inquiries
info@spacesbi.com