Pricing

Optimize your logistics with AerisWeather and Swiftask integration

Swiftask combines your operational data with AerisWeather forecasts to automate logistics decisions. Anticipate weather disruptions and secure your deliveries.

Result:

Reduce costs associated with weather-related incidents and improve supply chain reliability.

Unpredictable weather threatens your supply chain

Weather conditions are a leading cause of transport delays. Without integrated weather data, your teams react in panic, lose time, and incur high operational costs.

Main negative impacts:

Costly delivery delays: Unforeseen storms or extreme conditions block your vehicles, resulting in expensive delays and customer dissatisfaction.
Inefficient manual management: Manually monitoring weather reports for every route is impossible at scale. Decisions are often made too late.
Increased safety risks: Lack of anticipation exposes your drivers and goods to unnecessary risks during severe weather events.

Swiftask connects AerisWeather data to your management tools. Your AI agent monitors conditions in real-time and automatically triggers alerts or rerouting decisions.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A logistics manager manually checks weather on multiple sites. In case of an alert, they contact drivers one by one, look for detours, and update delivery deadlines. The process is slow, fragmented, and prone to human error.

With Swiftask + AerisWeather

The AI agent continuously analyzes AerisWeather forecasts. As soon as a risk is detected on a route, the system automatically notifies stakeholders and proposes logistics alternatives in seconds.

4 steps to automate your logistics with AerisWeather

STEP 1 : Configure your AI agent in Swiftask

Define the weather criticality thresholds (e.g., high winds, heavy snow) that should trigger a logistics action.

STEP 2 : Connect the AerisWeather API

Integrate your AerisWeather keys into Swiftask to allow your agent access to real-time, geolocated weather data.

STEP 3 : Define automation rules

Program the actions: notify the manager, alert the customer, or automatically recalculate estimated delivery times.

STEP 4 : Deploy and monitor

Your agent monitors your flows 24/7. Track alerts and corrective actions from your Swiftask dashboard.

Advanced features for your operations

The agent correlates your fleet's GPS coordinates with AerisWeather's local forecasts for ultra-precise risk analysis.

Target connector: The agent performs the right actions in aerisweather based on event context.
Automated actions: Automatic alerts via email or instant messaging. Dynamic update of delivery statuses. Rerouting recommendations based on weather conditions.
Native governance: All decisions made by the agent are logged for post-mortem analysis and continuous process improvement.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-aerisweather@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 for your logistics

1. Proactive anticipation

Turn weather data into operational decisions before problems occur.

2. Cost reduction

Avoid unnecessary trips and delay fees through better planning.

3. Increased customer satisfaction

Inform customers in advance of potential delays due to weather conditions.

4. Enhanced safety

Protect human and material resources by avoiding climate-risky areas.

5. Operational agility

React instantly to changing conditions with no-code automation.

Security and reliability of your data

Swiftask applies enterprise-grade security standards for your aerisweather automations.

Secure API connection: Swiftask uses encrypted protocols to communicate with AerisWeather, ensuring the confidentiality of your logistics data.
Rigorous access control: Fine-grained permission management so only authorized staff can modify automation rules.
Full traceability: Every weather alert and corrective action is logged in your history for a complete audit.
Enterprise scalability: An infrastructure designed to handle thousands of daily logistics data points without latency.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact of automation

Metric	Before	After
Reaction time to incidents	Several hours (manual)	A few seconds (automated)
Deadline reliability	Variable based on anticipation	Constant improvement via AI
Logistics management costs	High (human time)	Optimized (AI)
Implementation	Long IT project	Rapid configuration

Take action with aerisweather

Reduce costs associated with weather-related incidents and improve supply chain reliability.

Anticipate retail demand by integrating weather into your forecasts

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