A Case Study for Smarter, Safer Supply Chains
How AJEEVI's AI-powered solution reduced spoilage by 80% while improving delivery reliability
Executive Summary — Key Outcomes
AJEEVI's AI + IoT temperature monitoring system delivered measurable business value through real-time visibility and predictive analytics:
Reduction in spoilage
Saved ₹4.2 crore/year
Improvement in on-time deliveries
Enhanced logistics efficiency
Compliance ready
Audit-ready 24/7
"This isn't just about sensors—it's about saving food, vaccines, and livelihoods."
The Challenge
Problem: A leading dairy brand lost millions yearly due to temperature spoilage during refrigerated transport. Traditional monitoring was reactive and manual.
"Traditional monitoring was like driving blindfolded. We never knew when a shipment would fail until it was too late."
The Solution
How It Works (Non-Technical)
- Smart Sensors: Continuous temperature monitoring
- Real-Time Alerts: Instant notifications for deviations
- Predictive AI: Forecasts potential issues before they occur
- Dashboard: Centralized visibility across the supply chain
Technical Deep Dive
| Component | Technology | Impact |
|---|---|---|
| IoT Sensors | NIST-calibrated, -40°C to 85°C range | Works in extreme conditions |
| Connectivity | LoRaWAN, NB-IoT, Cellular | 99.9% data delivery |
| AI Model | Predictive analytics | 15-minute early warnings |
| Security | Blockchain + encryption | Tamper-proof records |
Results & Impact
Saved ₹4.2 crore/year through real-time monitoring and predictive interventions
Optimized routing based on real-time temperature conditions
Automated documentation for FDA, ISO, and other regulatory requirements
±0.1°C accuracy across -40°C to 85°C operational range
Seamless switching between LoRaWAN, NB-IoT, and cellular networks
95% accurate predictions of temperature excursions 15 minutes in advance
30% higher revenue for dairy farmers due to reduced spoilage
100% potency maintained throughout the cold chain
Eliminated health risks from spoiled dairy products
Industry Applications
- FMCG: Perishables, dairy, frozen foods
- Healthcare: Vaccine storage, pharma logistics
- Agriculture: Soil and storage monitoring
- Industrial: Equipment temperature detection
Lessons Learned & Implementation Tips
- Start Small, Scale Fast: Begin with a pilot in one region to validate results before enterprise-wide rollout.
- Build SOP Alignment Early: Integrate alert protocols into existing SOPs to ensure fast response times.
- Invest in Training: Ensure fleet operators and plant managers are trained to interpret dashboards and act on alerts.
- Monitor ROI Metrics: Track spoilage rate, delay frequency, and compliance efficiency to measure payback.
AJEEVI continues to extend this innovation to governments, smart cities, and climate resilience programs.
Technology with purpose.
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Legal Disclaimers
© 2025 EYQA®. All rights reserved. EYQA is a registered trademark.
1. General Use & Accuracy
This case study documents a project executed by AJEEVI, an EYQA®-vetted partner. EYQA® does not guarantee the accuracy, completeness, or applicability of the results, which are specific to AJEEVI's client engagement. Outcomes may vary based on organizational context, infrastructure, and implementation variables.
2. Client & Third-Party Relationships
This case study involves a confidential engagement between AJEEVI and a leading dairy FMCG brand. EYQA®'s role was limited to independent framework vetting and publication. No third-party endorsements are implied.
3. AI/IoT Implementation
The AI-driven temperature monitoring system and IoT protocols referenced herein were designed, deployed, and validated by AJEEVI. EYQA®'s review focused on methodological rigor and ESG alignment, not technical execution or performance guarantees.
4. No Liability for Results
Reported metrics (e.g., 80% spoilage reduction, 25% delivery improvement) reflect AJEEVI's client-specific benchmarks. EYQA® did not independently audit operational data and disclaims liability for decisions made based on this content.
5. Takedown Requests
To report inaccuracies or request content removal, email elevateyourqa@gmail.com.
6. Intellectual Property
© 2025 AJEEVI. All rights reserved. This case study is published with AJEEVI's express permission. Unauthorized reproduction, distribution, or commercial use is prohibited.