AI-Driven Temperature Monitoring
for Cold-Chain Logistics
How AJEEVI's AI-powered solution reduced spoilage by 80% while improving delivery reliability — independently vetted under EYQA® SHARE framework.
AJEEVI's AI + IoT temperature monitoring system delivered transformative results across performance, compliance, and human impact.
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."
A leading dairy brand lost millions yearly due to temperature spoilage during refrigerated transport. Traditional monitoring was reactive and manual — no predictive visibility.
"Traditional monitoring was like driving blindfolded. We never knew when a shipment would fail until it was too late."
- Smart Sensors: Continuous temperature monitoring
- Real-Time Alerts: Instant notifications for deviations
- Predictive AI: Forecasts potential issues before they occur
- Dashboard: Centralized visibility across supply chain
| 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 |
Saved ₹4.2 crore/year through real-time monitoring
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
- FMCG: Perishables, dairy, frozen foods
- Healthcare: Vaccine storage, pharma logistics
- Agriculture: Soil and storage monitoring
- Industrial: Equipment temperature detection
- Start Small, Scale Fast: Begin with a pilot in one region.
- Build SOP Alignment Early: Integrate alert protocols into existing SOPs.
- Invest in Training: Ensure operators interpret dashboards.
- Monitor ROI Metrics: Track spoilage rate, delay frequency.
AJEEVI continues to extend this innovation to governments, smart cities, and climate resilience programs. Technology with purpose.
Experience
Verified spoilage reduction and farmer benefits
Strategic Expansion
Ready for replication in emerging markets
Yield
Documented cost savings from waste reduction
Strategic Expansion
Enterprise licensing model potential
Quality
Deployed encryption and blockchain audits
Strategic Expansion
GDPR/HIPAA compliance adaptable
Agility
Modular design allows quick sector adaptation
Strategic Expansion
Retail cold-chain within 30 days
"AJEEVI's solution has transformed cold-chain logistics with measurable results—setting a benchmark for scalable, human-centric innovation."
Vishal Gupta
Founder & Chairman, AJEEVI
vishal.gupta@ajeevi.com | ajeevi.com
About AJEEVI: Full Stack IoT Solution Provider, Make in India, deployed solutions in 21+ Cities, impacting 20+ million citizens.
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1. General Use & Accuracy
This case study documents a project executed by AJEEVI. 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
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6. Intellectual Property
© AJEEVI. All rights reserved. This case study is published with AJEEVI's express permission. Unauthorized reproduction, distribution, or commercial use is prohibited.