endorsedCompleted

IGNI Logistics Asset Management Platform

Services Covered:

IoT Development • Big Data Analytics and Business Intelligence • Custom Software Development • Cloud Consulting and Services

Industry

Information Technology

Duration

6 months

Budget

10K - 49K

Start Date

1 October 2018

Team Size

1-5 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

70/100

Good

Project Capability Score (PCS) estimates how capable Algoscale Technologies 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

Skalenow Technologies Pvt. Ltd.

Chennai, India

Project Summary

Algoscale developed IGNI, a logistics asset management platform that ingests GPS sensor data to provide operational-efficiency insights for vehicles and drivers in warehouses. The platform delivered production-ready metrics and dashboards, increasing customer confidence and orders. The vendor used Python/Django, Kafka, Hadoop/Spark and AWS, and maintained effective communication through Slack and JIRA while ensuring timely delivery and bug fixes.

Key Challenges

Build a Logistics Asset Management platform for warehouses and manufacturing using IoT and Big Data
Monitor vehicles and extract metrics to provide operational insights
Create a scalable infrastructure to handle high volumes of data

Project Deliverables

Logistics asset management platform (IGNI)
Data transformation pipelines for GPS sensor data
Operational efficiency reports and dashboards (running time, stop time, idle time, ignition time, attendance, overtime)
Scalable AWS-based infrastructure
Remote immobilizing functionality

Project Solution

Algoscale was selected for expertise in Python/Django, Kafka, Hadoop/Spark, and AWS. They built IGNI to ingest raw GPS tracking sensor data, transform it into meaningful operational metrics, and provide dashboards and reports for vehicle and driver efficiency. They implemented scalable infrastructure on AWS, developed features such as remote immobilizing, and supported the client by running sprints and ensuring smooth delivery when the client's scrum master left.

Project Outcome

Enabled monitoring of 100+ vehicles across customer warehouses
Delivered productivity insights (running time, idle time, ignition time, attendance) that increased customer confidence and led to more orders
Effective communication and project management via Slack and JIRA; bugs were fixed before launch

Platforms

Cloud

Tech Stack

Python
Django
Apache Kafka
Apache Hadoop
Apache Spark
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“All product features met project requirements. The platform’s effectiveness increased orders and customer confidence. Algoscale Technologies, Inc. delivered communicated effectively. Their organization kept everything on track and ensured all bugs were fixed before the product was launched.”
Ramkumar Rengamani
Founder & CEO
Date: 02/11/2020