Pricing

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.

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

STEP 1 : Centralize data streams

Connect your data sources (CRM, sales, demographics) to Swiftask for continuous ingestion.

STEP 2 : Configure AI analysis

Define the parameters of your ideal catchment area in Swiftask. The AI identifies high-potential zones.

STEP 3 : Synchronize with Felt

Swiftask pushes results directly into your Felt maps. Visualize adjustments on a collaborative interface.

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

1. Increased geographic precision

Stop relying on arbitrary radii; use real attraction zones analyzed by AI.

2. Operational agility

Adjust your territory mesh strategies in a few clicks as the market evolves.

3. Unified collaboration

Everyone works on the same map, with data that is always up-to-date.

4. Reduced study costs

Automate time-consuming spatial analysis tasks to free up time for your analysts.

5. 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.

Automatic temporal archiving for your Felt map data

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