SiteCraft by DataChefBook a demo
Prescriptive Location Intelligence™

Know where to open next, and why.

SiteCraft scores every block of a city on demand, competition, zoning and the stores you already run. It recommends the sites to open and explains every pick, so expansion decisions hold up in the boardroom.

Book a demoRead the launch post
Sub-500m hexagon scoringAsk “why?” about any siteWhat-if simulations

SiteCraft ranking candidate bakery sites in Berlin. Illustrative data.

The problem

The data gives you facts. It doesn’t give you a decision.

Expansion teams pick sites one at a time, on gut feel, from a patchwork of reports and maps. The tools they have answer “what is here?”, not “where should we go, and why?”

ConsultantsSlow, expensive, and out of date the moment the market moves.
Demographic datasetsRaw numbers. Someone still has to turn them into a choice.
Black-box optimisersAn answer you can’t explain, and can’t defend to your board.
GIS mapsA picture of the world as it is, not where you should be in it.

SiteCraft gives you ranked recommendations with every factor visible and every assumption yours to change. Not a dashboard to interpret, a decision you can trace.

A three-year lease signed on bad data is not a bug you can patch in the next sprint.
How sites are scored

Four signals behind every score

The city is split into hexagons under 500m across. Each one is scored on four signals, and you decide how much each one matters.

DD
Demand DensityFoot traffic and the overlap of residents, workers and tourists, by time of day.
CD
Competitive DistanceHow close direct and indirect competitors are, and how crowded each catchment already is.
ZE
Zoning & Permit EaseCommercial zoning, heritage rules and realistic permit timelines for each block.
NS
Network SynergyWhether a new site fills a gap in your network or eats into your own stores’ sales.

Score(L) = Σ wᵢ · fᵢ(L) · weights always sum to 100%

Product

From “where could we go?” to “here’s where, and why”

One workspace for the whole expansion decision: scoring, ranking, explaining and stress-testing, driven by a conversation.

Optimization Engine

Rankings that move with your strategy

Change a weight, set a CapEx ceiling or add a zoning constraint, and every candidate re-ranks. No code and no waiting on an analyst to rerun the numbers.

  • Weight the four signals to match your objective
  • Budget, distance and regulation limits as hard constraints
  • Maximise revenue, market saturation or operational efficiency
Signal weightsTry it
  1. 1Alexanderplatz87
  2. 2Kreuzberg, Oranienstraße86
  3. 3Prenzlauer Berg80
  4. 4Charlottenburg, Kantstraße77
  5. 5Friedrichshain, Boxhagener Platz76
Decision Transparency

Every pick comes with its reasons

Open any site to see how each signal contributed, how confident the model is, the estimated CapEx and the decision logic in plain language. Then ask “why not here?” in chat.

  • Signal-by-signal breakdown of every score
  • Confidence levels that flag thin or uncertain data
  • A clear trail for executive sign-off
Decision TransparencyAlexanderplatz
94
Confidence92%
Est. CapEx€2.4M
Demand Density96%
Top 3% weekday footfall; strong commuter + tourist overlap.
Competitive Distance88%
Nearest direct competitor 640m away.
Zoning & Permit Ease74%
Retail zoning; heritage review adds ~6 weeks.
Network Synergy91%
Covers a gap between two stores, 4% cannibalisation.
Ranks #1 because demand outweighs the higher CapEx
Network planning

Plan a network, not a single pin

Ask for five sites and SiteCraft solves for the best set of five: maximum coverage, minimum cannibalisation, inside your budget. Top-N lists can’t do that.

  • Facility-location and max-coverage models
  • Gap-filling instead of competing with your own stores
  • Coverage, distance and budget solved in one model
12345
Future Simulations

Stress-test the plan before you sign

Model the futures you worry about: rent up 20% across a district, five new competitors, demand shifting over three years. See how coverage, cannibalisation, ROI and risk respond.

  • Conservative, aggressive or custom scenarios
  • Stack multiple conditions over a time range
  • Trade-offs side by side before the lease is signed
ConservativeAggressiveCustom
Rent +20% across Mitte3 yrs
5 new competitor stores in Kreuzberg3 yrs
Market Coverage68% → 74%
+6%
Cannibalization Risk12% → 9%
−3%
Average ROI Projection18.2% → 15.9%
−2.3%
Implementation RiskLow → Medium
+1
Your data

Bring the knowledge you already have

Upload store performance, market studies and strategy decks. SiteCraft folds them in with open and commercial location data, so the model reflects how your stores actually perform.

  • CSV, spreadsheets, PDFs and slide decks
  • Calibrated to your own store performance
  • Every dataset optional, all of them composable
Drop decks, reports and spreadsheetsSiteCraft reads them and calibrates the model to your business
store_performance_2025.csv40 stores · revenue, footfall
Indexed
berlin_market_study.pdfConsultant report · 86 pages
Indexed
expansion_strategy.pptxBoard deck · targets, budgets
Indexed
How it works

An AI analyst with a real solver behind it

SiteCraft’s agent handles the analysis end to end, and you can step in and revise at any stage.

  1. 01DiscussDescribe your business, markets and goals in plain language.
  2. 02DiscoverSiteCraft gathers location data, reads your files and profiles every variable.
  3. 03ModelYour goals become an optimisation model. You tune weights and constraints.
  4. 04SolveA mathematical solver computes the optimal set of sites, not a language model’s guess.
  5. 05RecommendRanked sites, decision logic and a report you can share.
Under the hood

Language models are good at framing problems and bad at arithmetic. SiteCraft uses each for what it does best.

Lessons from building the optimisation agent
  • The AI writes the model; proven optimisation solvers compute the answer.
  • A critique agent reviews every formulation before it runs.
  • Static checks reject invalid models up front, halving the iterations to a solution.
  • Data is cleaned in a sandbox and profiled variable by variable.
Use cases

Built for networks that keep growing

The same engine underneath, with signals and constraints shaped to your industry.

Retail chainsOpening 10 to 50 sites a year and needing a defensible shortlist every quarter.
Franchise networksPlacing new franchisees without eating into the territories of existing ones.
Food & beverage groupsDense cities where 200 metres separate a queue out the door from an empty room.
Real estate & developmentMatching tenants to sites and sites to tenants, with the reasoning to show both.
EV chargingTraffic flow, dwell time and grid capacity, with grid limits as hard constraints.
Beauty & self-careBrand affinity, beauty spend and co-tenancy next to fashion and fitness.
FAQ

Questions we hear a lot

Something else on your mind? Book a call below.

Get started

See SiteCraft on your own market

Bring a city you’re considering. We’ll show you how SiteCraft ranks it, and why.

Book a demo call

Pick a slot and we’ll walk through SiteCraft live on a market you choose.

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