Swiftask analyzes your Enedis data via Data-Connect to model and forecast your future energy needs with unparalleled accuracy.
Resultat:
Reduce energy costs by adjusting your operations based on reliable forecasts, not guesswork.
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.
Les principaux impacts négatifs :
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.
AVANT / APRÈS
Ce qui change avec 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 Data is obsolete as soon as it is analyzed, and decisions are made with a critical time lag.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
ÉTAPE 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.
ÉTAPE 2 : Configure the prediction agent
Define your AI agent's parameters (frequency, site scope) without writing a line of code.
ÉTAPE 3 : Train the model on your data
The agent analyzes consumption history to identify patterns specific to your business.
ÉTAPE 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.
Chaque action est contextualisée et exécutée automatiquement au bon moment.
Chaque agent Swiftask utilise une identité dédiée (ex. agent-enedis-data-connect@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.
À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.
Optimize your resources with AI
1. Increased precision
The AI detects correlations invisible to traditional calculation methods.
2. Operational time savings
Total automation of data collection and analysis, freeing your team from repetitive tasks.
3. Cost reduction
Anticipate consumption peaks for better management of your energy contracts.
4. Simplified ESG management
Track and forecast your carbon footprint with reliable, centralized data.
5. Decision-making agility
Adjust production or maintenance strategies with continuously updated forecasts.
Data confidentiality and compliance
Swiftask applique des standards de sécurité enterprise pour vos automatisations enedis data-connect.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Measurable impact of intelligent forecasting
| Métrique | Avant | Après |
|---|---|---|
| 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 |
Passez à l'action avec enedis data-connect
Reduce energy costs by adjusting your operations based on reliable forecasts, not guesswork.