EndorsedendorsedOngoing

Custom IoT Warehouse Monitoring for Logistics Company

Services Covered:

Mobile Application Development • IoT Development
Project hero — replace with case study imagery
Industry
Industry

Logistics & Transportation

Duration
Durationinfo-circle

14 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 May 2021

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable Yugasa Software is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

SILPL

map India

Project Summary

Yugasa Software Labs developed a custom IoT solution for a logistics company to monitor warehouses and inventory, using tablet apps and a Node.js backend. The system integrates humidity, temperature, gas and vibration sensors plus high-resolution cameras with image-recognition for pest detection. The solution helped prevent wastage by up to 25% and increased revenue collection by about 10%, and the vendor was noted as responsive and communicative.

Key Challenges

  • Damage control of inventory during storage across warehousing sites.
  • Need for automated, continuous monitoring of warehouses via cameras and sensors.
  • Real-time alarms and sharing updated recordings to tablets for agents with role-based access.
  • Integrating hardware (multiple sensor types and cameras) with mobile applications.

Project Deliverables

  • Tablet apps (Kotlin/Swift)
  • Backend services (Node.js)
  • IoT integration with sensors and cameras
  • Image-recognition module for rodent and insect detection
  • Requirement specification and product documentation

Project Solution

Yugasa drafted initial requirement documentation, then developed tablet applications (Kotlin and Swift) and a Node.js backend. They integrated the system with customer-provided IoT hardware (humidity, temperature, gas, vibration sensors and 3D cameras) and implemented image-recognition capabilities for rodent/insect detection. The vendor delivered documentation, iterative feature releases, and assisted with deploying the solution across sites.

Project Outcome

  • Prevented wastage by up to 25%.
  • Increased revenue collection by up to 10% from existing and new clients.
  • Ongoing feature implementation and rollout to additional sites.
  • Improved stakeholder confidence due to responsive communication and support.

Platforms

  • MobileMobile
  • IoTIoT

Tech Stack

  • KotlinKotlin
  • iOSiOS
  • Node.jsNode.js

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The company is happy with the IoT solution, which has helped them prevent wastage by up to 25% and increased their revenue collection by 10% among their existing and new customers. Yugasa Software Labs is responsive and responsible, communicating promptly and fully understanding the client's goals.”

Sumant Jha

VP

Note: This endorsement is based on publicly available client feedback from external review sources.

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