Anticipate industrial breakdowns with predictive maintenance
Swiftask leverages location data from Locate to detect behavioral anomalies and schedule your maintenance before failures occur.
Result:
Reduce repair costs and maximize the availability of your critical equipment.
AI Agents
locate
Connector locate · Secure OAuth 2.0
The pitfalls of reactive asset maintenance
Corrective maintenance is expensive due to emergency costs and downtime. Without precise visibility into asset usage and condition via Locate, you suffer from breakdowns instead of preventing them.
Main negative impacts:
Unexpected asset downtime
A breakdown during operations halts your value chain and generates major operational costs.
Accelerated wear from misuse
Without contextual tracking, you cannot identify behaviors that prematurely degrade your equipment.
High corrective maintenance costs
Emergency interventions are always more expensive than planned maintenance based on real data.
Connect Locate to Swiftask to transform location data into early warning signals. Our AI agents analyze usage patterns to predict maintenance needs.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask + Locate
You wait for an asset to break down or follow a rigid maintenance schedule, often unsuited to actual equipment usage. Teams intervene too late or unnecessarily.
With Swiftask + Locate
The system detects a movement anomaly or intensive usage via Locate. Swiftask generates a predictive maintenance alert, allowing for targeted intervention at the right time.
Implementing your predictive strategy in 4 steps
1
STEP 1 : Centralizing Locate data
Import your asset data stream from Locate into Swiftask to build a robust historical database.
2
STEP 2 : Configuring the analysis agent
Define alert thresholds and abnormal behaviors that trigger a maintenance request.
3
STEP 3 : Automating notifications
Configure automated dispatch of work orders to technicians as soon as maintenance is recommended by the AI.
4
STEP 4 : Monitoring effectiveness
Measure the reduction in downtime and adjust AI models to improve prediction accuracy.
Analyzing your asset capabilities
The AI agent cross-references location data, usage times, and breakdown history to calculate failure probability.
- Target connector: The agent performs the right actions in locate based on event context.
- Automated actions: Movement anomaly detection, usage-based maintenance alerts, automated work order generation, asset reliability reporting.
- Native governance: All analyses are kept in an audit log to improve your asset management processes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-locate@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.
Operational benefits of the predictive approach
Extended lifespan
Proactive maintenance prevents irreversible damage to your equipment.
Drastic downtime reduction
Intervene before failure and maintain operational continuity.
Resource optimization
Deploy your technicians only where needed, at the right time.
Data-driven governance
Make investment decisions based on the actual condition and history of your assets.
Seamless integration
Connect your existing tools to Locate and Swiftask for a complete ecosystem.
Data security and reliability
Swiftask applies enterprise-grade security standards for your locate automations.
- End-to-end encryption: Locate data is securely transmitted to Swiftask.
- GDPR compliance: Strict management of geolocation data to respect employee privacy.
- Controlled access: Restricted access to maintenance data via defined roles.
- System resilience: Robust architecture capable of processing large volumes of IoT data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Industrial performance indicators
| Metric | Before | After |
|---|---|---|
| Unplanned downtime | High (reactive) | Reduced by up to 50% |
| Maintenance cost | Emergency repair costs | Optimized planned costs |
| Asset availability | Variable | Maximized |
| Alert accuracy | Non-existent | Based on AI analysis |
Take action with locate
Reduce repair costs and maximize the availability of your critical equipment.