Swiftask integrates TomTom's high-precision mapping and traffic data to automate your trade area analysis. Make site selection decisions based on real-world data.
Result:
Gain strategic precision and drastically reduce the time spent analyzing potential sites.
AI Agents
tomtom
Connector tomtom · Secure OAuth 2.0
Manually evaluating a trade area is a slow, expensive, and error-prone process. Crossing demographic data with real-world traffic flows requires technical expertise and significant time, often at the expense of strategic responsiveness.
Main negative impacts:
Decisions based on outdated data
Relying on static maps without dynamic traffic data skews your real understanding of a location's accessibility.
Fragmented analysis processes
Moving data between GIS tools, spreadsheets, and decision reports creates operational bottlenecks.
Lack of scalability
Analyzing 10 sites is manageable, but evaluating hundreds of locations simultaneously becomes impossible without intelligent automation.
Swiftask connects your AI agents to TomTom APIs. You automate traffic data extraction, isochrone calculations, and proximity analysis to generate instant site selection recommendations.
BEFORE / AFTER
Traditional method
A marketing team manually exports geographic data, imports it into a GIS tool, attempts to correlate historical traffic flows, and writes a static report. The process takes several days.
The Swiftask + TomTom approach
The AI agent queries TomTom APIs in real time for each potential site. It instantly calculates trade areas based on real travel times, correlates this data with your criteria, and generates a viability report.
1
STEP 1 : Initialize your spatial analysis agent
Set up an agent in Swiftask dedicated to site evaluation, without writing a single line of code.
2
STEP 2 : Connect your TomTom API access
Integrate your TomTom credentials to access high-precision routing, traffic, and mapping data.
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STEP 3 : Define zone parameters
Configure business rules: maximum travel time, zone typology, or target population density.
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STEP 4 : Automate reporting
The agent processes requests in bulk and sends analysis results directly to your management tools.
The AI agent processes TomTom data to evaluate accessibility, real travel time, and surrounding points of interest.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-tomtom@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Use TomTom's real-time traffic to validate the actual attractiveness of your locations.
Go from idea to feasibility analysis in seconds instead of days.
Evaluate hundreds of sites simultaneously without increasing workload.
Minimize human interpretation errors with automated, objective analysis.
Centralize all your expansion studies in a secure and auditable environment.
Swiftask applies enterprise-grade security standards for your tomtom automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Analysis time per site | Several hours | A few minutes |
| Data accuracy | Based on estimates | Based on real TomTom traffic |
| Analysis capacity | Limited to human resources | Scalable indefinitely |
| Operational cost | High (time/expert) | Optimized by automation |
Gain strategic precision and drastically reduce the time spent analyzing potential sites.