Swiftask synchronizes your Monta charging stations with predictive AI. Automatically adjust your charging prices to maximize margins while remaining competitive.
Result:
Transform your pricing management: move from obsolete fixed pricing to a data-driven dynamic pricing strategy.
Fixed pricing erodes your EV charging margins
The energy market is volatile. By applying fixed charging prices on your Monta stations, you risk losing money during price spikes or reducing your attractiveness during off-peak hours. Manual management of price changes is too slow to follow the market.
Main negative impacts:
Swiftask connects your Monta stations to an AI that analyzes market prices in real-time and automatically adjusts your rates according to precise business rules.
BEFORE / AFTER
What changes with Swiftask
Traditional pricing management
You set a single price for the day. When the wholesale price of electricity explodes at 6 PM, you sell at a loss. The next day, you have to manually change settings in Monta to compensate, with no real visibility on the impact.
Swiftask + Monta intelligent pricing
The Swiftask AI agent monitors energy price feeds. As soon as a threshold is crossed, it sends an update via the Monta API to adjust your charging rates instantly. You secure your margins without any intervention.
Deploy your pricing strategy in 4 steps
STEP 1 : Connect your Monta stations
Authenticate your Monta account in Swiftask to allow the AI to access your charging station settings.
STEP 2 : Define your margin rules
Configure margin targets and price limits in Swiftask. The AI will respect these constraints for every adjustment.
STEP 3 : Integrate market data
Connect an energy price source (market API) to your Swiftask agent to fuel its decisions.
STEP 4 : Activate autonomous adjustment
The agent starts monitoring and adjusting prices on Monta in real-time, 24/7.
AI capabilities for your Monta infrastructure
Predictive energy price analysis, demand elasticity by site, historical cost per station.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-monta@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 dynamic optimization
1. Profitability maximization
Your prices adapt to protect your margins, even during periods of high electricity price volatility.
2. Increased attractiveness
Offer competitive prices during off-peak hours to attract more users to your stations.
3. Full automation
Eliminate manual price management. Your team focuses on network development.
4. Compliance and audit
Every price change is tracked. You justify your rates with precision to regulators or partners.
5. Market agility
React instantly to energy market movements, where competitors take hours.
Security and control of your infrastructure
Swiftask applies enterprise-grade security standards for your monta automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable performance with Swiftask
| Metric | Before | After |
|---|---|---|
| Average margin per kWh | Fluctuating and uncertain | Stabilized and optimized |
| Reaction time to prices | Several hours (manual) | A few seconds (AI) |
| Pricing errors | Frequent | 0 (strict rules) |
| Administrative management time | High | Negligible |
Take action with monta
Transform your pricing management: move from obsolete fixed pricing to a data-driven dynamic pricing strategy.