A Leading Cold Chain Logistics Provider Prevents Losses with Robotan RPA
Robotan RPA automated the 24/7 monitoring of real-time temperatures across more than 100 refrigerated fleets. Daily excursion instances dropped from more than 150 to just 10 — preventing penalties, protecting client credibility, and securing pharma cold chain compliance.
About the Client
A top IATA-registered logistics provider for the pharma industry, operating 100+ refrigerated vehicles with 24/7 services across India.
Cold Chain Transportation
Mumbai, India
Pharma cold chain norms requiring strict 6°C to 8°C temperature maintenance for every consignment.
The Problem
The client’s refrigerated fleet is equipped with three different GPS-based real-time temperature monitoring systems, each accessible via a dedicated application. Drivers must maintain a strict temperature range of 6°C to 8°C for pharma consignments as part of compliance norms.
Challenges Before Robotan RPA
Fragmented Monitoring Systems
Three different GPS-based temperature monitoring platforms required separate logins, making real-time tracking inefficient and inconsistent.
Ineffective Alert Response
SMS and email alerts were frequently missed or ignored by operations teams, allowing temperature excursions to go uncorrected.
Resource-Intensive Monitoring
24x7 manual tracking would demand multiple shifts and additional staff, significantly raising operational costs.
Compliance & Financial Risks
Frequent excursions led to financial penalties, product spoilage risks, and erosion of client trust and credibility.
The Robotan RPA Solution
Unified 24/7 Automated Monitoring
Robotan created a bot that continuously logs into all three temperature monitoring applications, eliminating the need for manual checking across platforms.
Predictive Excursion Detection
The bot spots near-excursion temperature conditions before they breach the 6°C–8°C compliance limit, enabling proactive intervention.
Instant WhatsApp Call Alerts
When a risk is detected, the bot triggers an automated WhatsApp call alert to the operations team for immediate action.
Detailed WhatsApp Notifications
Each alert carries the vehicle number, current location, and live temperature reading so teams can act with full context.
Key Results
| Metric | Before RPA | After Robotan RPA |
|---|---|---|
| Average Daily Excursion Instances | 150+ | 10 |
| Financial Losses from Penalties | High | Minimal |
| Compliance Breach Risk | Frequent | Near-Zero |
| Monitoring Coverage | Limited | 24x7 Automated |
| Operational Response Time | Delayed | Instant |
Final Outcome
With Robotan RPA, the client transformed a risky, manual compliance process into a fully automated monitoring system that secures operations, reputation, and scalability.
Drastic Reduction in Excursions
Daily temperature excursions fell from over 150 to just 10, protecting pharma consignments and client commitments.
Significant Cost Savings
Avoided financial penalties and spoilage costs by catching and correcting temperature issues before they became breaches.
Improved Compliance
Automated 24/7 coverage ensures consistent adherence to pharma cold chain regulations across the entire fleet.
Enhanced Credibility
Reliable temperature control strengthened client trust and market reputation for the logistics provider.
Scalable Operations
Monitoring scaled across 100+ refrigerated vehicles without adding manual headcount or shifts.
Frequently Asked Questions
Real-time temperature monitoring across three GPS-based cold chain platforms, including predictive excursion detection and WhatsApp call/message alerts to the operations team.
Average daily excursion instances dropped from more than 150 to just 10 — a reduction of over 93%.
The bot sends automated WhatsApp voice calls for immediate attention and detailed WhatsApp messages containing vehicle number, current location, and live temperature reading.
No. Robotan RPA provided continuous automated coverage across 100+ vehicles without adding manual shifts or headcount.
Yes. Robotan builds managed automation around each client’s existing GPS apps, temperature thresholds, and alert workflows rather than forcing a fixed template.