Optimize catchment areas with Felt and AI
Swiftask integrates with Felt to turn geographic data into actionable strategy. Visualize, analyze, and adjust your areas in real-time.
Result:
Boost site selection accuracy and maximize your market coverage with augmented spatial analysis.
AI Agents
felt
Connector felt · Secure OAuth 2.0
Spatial data complexity hinders expansion
Defining a relevant catchment area requires cross-referencing demographic, competitive, and transactional variables. Without connected tools, this analysis is static, slow, and often disconnected from real-world conditions.
Main negative impacts:
Decisions based on stale data
Traditional methods fail to capture rapid shifts in consumer flows, leading to targeting errors.
Siloed analysis and mapping
Data is processed in one tool, then mapped in another. This friction slows down strategic decision-making.
Lack of visual collaboration
Field teams and HQ struggle to share a common view of geographic opportunities, limiting agility.
Swiftask connects your AI models to Felt. You analyze your data, the AI generates area recommendations, and Felt maps them instantly for your teams.
BEFORE / AFTER
What changes with Swiftask
Manual mapping workflows
A team extracts data, cleans it, and imports it into complex GIS software. The result is a static map that is hard to share and update, making adjustments tedious.
Intelligent spatial workflow
Swiftask processes data streams continuously. As soon as a significant shift is detected, Felt updates your catchment areas. Strategy becomes dynamic and collaborative.
Deploy your spatial strategy in 4 steps
1
STEP 1 : Centralize data streams
Connect your data sources (CRM, sales, demographics) to Swiftask for continuous ingestion.
2
STEP 2 : Configure AI analysis
Define the parameters of your ideal catchment area in Swiftask. The AI identifies high-potential zones.
3
STEP 3 : Synchronize with Felt
Swiftask pushes results directly into your Felt maps. Visualize adjustments on a collaborative interface.
4
STEP 4 : Validate and iterate
Field teams validate areas on Felt. Feedback feeds back into Swiftask to refine future models.
Advanced features for your maps
AI evaluates population density, purchasing power, local competition, and actual point-of-sale accessibility.
- Target connector: The agent performs the right actions in felt based on event context.
- Automated actions: Automatic area polygon generation. Real-time map layer updates. Intelligent annotations on Felt. Alerts on underperforming areas.
- Native governance: All analyses are stored and auditable in Swiftask to justify your site selection choices.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-felt@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.
Strategic benefits of this synergy
Increased geographic precision
Stop relying on arbitrary radii; use real attraction zones analyzed by AI.
Operational agility
Adjust your territory mesh strategies in a few clicks as the market evolves.
Unified collaboration
Everyone works on the same map, with data that is always up-to-date.
Reduced study costs
Automate time-consuming spatial analysis tasks to free up time for your analysts.
Better site selection ROI
Identify areas where demand is high but supply is low to optimize your investments.
Data confidentiality and integrity
Swiftask applies enterprise-grade security standards for your felt automations.
- Secure spatial data: Your customer data remains protected and encrypted while in transit between Swiftask and Felt.
- Access control: Manage exactly who can modify catchment areas within your workspace.
- Decision traceability: Every change to an area is logged. You know why and when an area was adjusted.
- GDPR compliance: Processed data respects privacy standards, essential for geomarketing.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Area update time | Several days | A few minutes |
| Targeting accuracy | Based on estimates | Based on real data |
| Cross-department collaboration | Email and separate files | Single shared map |
| Cost per analysis | High (consulting) | Low (automated) |
Take action with felt
Boost site selection accuracy and maximize your market coverage with augmented spatial analysis.