--- title: How long does it take to build a GeoAI model? description: how long it takes to create a GeoAI model in Targomo --- [Skip to content](https://info.targomo.com/targomoloop/help/how-long-does-it-take-to-build-a-targomo-geoai-model#main-content) ![Targomo-logo-email-logo-template.png\]](https://info.targomo.com/hs-fs/hubfs/Targomo-logo-email-logo-template.png?height=40&name=Targomo-logo-email-logo-template.png) - [Sample About Page](https://www.targomo.com/en/about/) - [Sample Contact Page](https://www.targomo.com/en/contact/) - [Default HubSpot Blog](https://info.targomo.com/blog) Open main navigation Close main navigation - [Sample About Page](https://www.targomo.com/en/about/) - [Sample Contact Page](https://www.targomo.com/en/contact/) - [Default HubSpot Blog](https://info.targomo.com/blog) How can we help you? - There are no suggestions because the search field is empty. 1. [TargomoLOOP Knowledge Base](https://info.targomo.com/targomoloop/help?hsLang=en) 2. [FAQ](https://info.targomo.com/targomoloop/help/faq?hsLang=en) 3. [GeoAI](https://info.targomo.com/targomoloop/help/faq?hsLang=en#geoai) # How long does it take to build a GeoAI model? There’s no fixed timeline and that’s by design. Building a GeoAI model is not a one-time task. It’s an **iterative process** that improves over time. --- ### What actually determines the timeline? **1. Data quality** - Clean, structured revenue and location data → faster and better results - Messy or incomplete data → more iterations needed 👉 Better input = faster convergence --- **2. Number of locations** - More stores → stronger patterns → quicker model stability - Fewer stores → requires more tuning and validation --- **3. Data richness** - Availability of: - Footfall - Demographics - POIs - Traffic 👉 More driving factors = more accurate model (but also more refinement cycles) --- ### So how long does it *really* take? - **Initial model** → can be built relatively quickly - **Reliable model** → improves over iterations - **High-performing model** → evolves continuously 👉 Think of it as: > Not a “project with an end date”, but a **system that keeps getting smarter** --- ### Why it’s iterative GeoAI: - Tests thousands of relationships between variables - Learns which factors actually drive performance - Gets refined based on: - New data - Feedback - Changing market conditions --- ### What improves the model over time? - Adding more store performance data - Including better or more relevant datasets - Refining assumptions (e.g., catchments, competition) - Learning from real-world outcomes --- ### Key takeaway GEO-AI doesn’t aim to be “finished”—it aims to be **continuously improving**. - You get value early - 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