Swiftask centralizes and analyzes your SmartRoutes delivery data. Get actionable insights without manual file manipulation.
Result:
Save hours of weekly analysis and instantly identify levers for optimizing your delivery routes.
AI Agents
smartroutes
Connector smartroutes · Secure OAuth 2.0
Fleet management generates massive volumes of data via SmartRoutes. Without automation, logistics managers spend their days exporting, cleaning, and consolidating Excel sheets to understand real delivery performance.
Main negative impacts:
Delayed decision-making
Reports are often generated with several days of delay, making it impossible to immediately correct delivery anomalies.
Human errors in data
Manual handling of complex files drastically increases the risk of errors in your performance indicators.
Fragmented operational view
It is difficult to correlate SmartRoutes data with other sources to get a 360° view of logistics profitability.
Swiftask automates the extraction and analysis of your SmartRoutes data. Your AI agent processes information in real time to produce clear reports, directly actionable by your teams.
BEFORE / AFTER
Before Swiftask
A manager manually exports SmartRoutes reports every Monday morning. They spend 4 hours consolidating data, calculating KPIs, and formatting a PowerPoint for management. The report is obsolete by the time it is presented.
After Swiftask + SmartRoutes
The Swiftask agent connects to SmartRoutes, retrieves weekly data, analyzes it, and automatically generates a structured performance report. Your managers receive relevant analysis directly in their email or Slack channel.
1
STEP 1 : Configure the SmartRoutes connector
Integrate your SmartRoutes credentials into Swiftask via a secure interface to authorize access to delivery data.
2
STEP 2 : Define your key indicators
Select the KPIs to track: delivery rate, travel time, cost per package, or driver performance.
3
STEP 3 : Schedule report generation
Set the frequency (daily, weekly) and output format (PDF, dashboard, synthesized message).
4
STEP 4 : Analyze and take action
Receive your automated report and use AI recommendations to adjust your upcoming routes.
The AI agent cross-references SmartRoutes data with your operational goals: success rate, adherence to delivery windows, and fleet productivity.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-smartroutes@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.
Eliminate calculation errors linked to manual entry for total reporting reliability.
Reclaim hours of administrative work each week by automating your dashboard production.
Identify delivery issues in real time thanks to reports generated automatically after each route.
Ensure uniform performance reading for all logistics sites in your organization.
Spend time analyzing results to improve your processes rather than compiling them.
Swiftask applies enterprise-grade security standards for your smartroutes automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Report preparation time | 3 to 5 hours / week | 0 hours (automated) |
| Data precision | Risk of manual errors | Total data integrity |
| Reporting frequency | Weekly | Real-time or on-demand |
| Processing cost | High (human time) | Reduced (AI automation) |
Save hours of weekly analysis and instantly identify levers for optimizing your delivery routes.