Anticipate your power consumption with AI and Enedis
Swiftask analyzes your Enedis data via Data-Connect to model and forecast your future energy needs with unparalleled accuracy.
Result:
Reduce energy costs by adjusting your operations based on reliable forecasts, not guesswork.
AI Agents
enedis data-connect
Connector enedis data-connect · Secure OAuth 2.0
Volatile energy consumption impacts your bottom line
Managing energy without visibility into future consumption is a major challenge. Businesses often rely on static historical data or manual estimates, leading to unnecessary overspending or supply shortages.
Main negative impacts:
Unpredictable energy costs
Without fine-grained forecasting, it is impossible to optimize energy purchases or modulate consumption peaks, leading to higher bills.
Dependency on manual analysis
Processing Enedis data in Excel is time-consuming, prone to human error, and fails to capture complex trends.
Lack of strategic control
Without predictive models, your energy transition remains reactive rather than proactive, limiting your ability to meet ESG goals.
Swiftask automates data import via Enedis Data-Connect and uses AI models to generate personalized consumption forecasts. You turn raw data into actionable strategic insights.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
You manually download Enedis reports every month. An analyst tries to adjust forecasts in a spreadsheet. Data is obsolete as soon as it is analyzed, and decisions are made with a critical time lag.
AI forecasting with Swiftask
Swiftask automatically retrieves your data via Enedis Data-Connect. The AI analyzes seasonality, past events, and trends. You get dynamic forecasts in real-time, ready to use.
Deploy your forecasting engine in 4 simple steps
1
STEP 1 : Activate the Enedis connector
Connect your Enedis Data-Connect access to Swiftask in a few clicks to authorize secure reading of your consumption data.
2
STEP 2 : Configure the prediction agent
Define your AI agent's parameters (frequency, site scope) without writing a line of code.
3
STEP 3 : Train the model on your data
The agent analyzes consumption history to identify patterns specific to your business.
4
STEP 4 : Visualize and automate
Receive your forecasts directly in your management tools or via automated alerts in Swiftask.
Advanced capabilities of your forecasting agent
The agent cross-references your consumption data with external variables (temperature, calendar, activity) to refine prediction model accuracy.
- Target connector: The agent performs the right actions in enedis data-connect based on event context.
- Automated actions: Generate short and medium-term forecasts. Detect real-time consumption anomalies. Create automated reports. Alert on predicted threshold breaches.
- Native governance: Security is our priority: your Enedis data is handled with the highest level of encryption and compliance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-enedis-data-connect@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.
Optimize your resources with AI
Increased precision
The AI detects correlations invisible to traditional calculation methods.
Operational time savings
Total automation of data collection and analysis, freeing your team from repetitive tasks.
Cost reduction
Anticipate consumption peaks for better management of your energy contracts.
Simplified ESG management
Track and forecast your carbon footprint with reliable, centralized data.
Decision-making agility
Adjust production or maintenance strategies with continuously updated forecasts.
Data confidentiality and compliance
Swiftask applies enterprise-grade security standards for your enedis data-connect automations.
- Secure Enedis access: Exclusive use of official Data-Connect APIs with secure OAuth authentication.
- Data isolation: Each client has a siloed environment to ensure absolute confidentiality.
- GDPR compliance: Strict management of consents and consumption data, in full compliance with regulations.
- Auditability: Every forecast and action is logged to ensure total process transparency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact of intelligent forecasting
| Metric | Before | After |
|---|---|---|
| Forecast precision | ± 15-20% (estimates) | ± 3-5% (Swiftask AI) |
| Analysis time | Several days per month | Real-time (automated) |
| Energy savings | Hard to measure | Up to 12% reduction |
| Technical complexity | Data Science required | No-code |
Take action with enedis data-connect
Reduce energy costs by adjusting your operations based on reliable forecasts, not guesswork.