The Need

The Need

Logistics span from roads/rails to air to sea. In simple terms, items are packed and moved from point A to point B. Factories, food processing units, retail etc, are all dependent on logistics as their back bone. Lot of applications are built to reduce the losses due to improper planning of logistics.

Logistics aggregators in turn work with truck or shipping companies, and they act as apex bodies to minimize cost and time across sending and receiving entities.

Resileo teams have tested both land and sea logistics applications, at scale. Our expertise include:

  1. Truck/Container management
  2. Trip/voyage management
  3. Crew/drivers management
  4. Items, transport conditions, packaging conditions management
  5. Cost management
  6. Insurance management for the goods being transported
  7. Aggregation of multiple loads to one trip to minimize time and cost
  8. BI on vendor performance
  9. Driver/Crew/Vehicle history tracking
  10. Integration with GPS

‍Customer List

IIT Madras
IDFC Bank
MetricStream
Merittrac
Hexaware
HCL Technologies
Global Analytics
Enstar Group
Datascan
Daimler Chrysler Research & Technology
Curatio
Compuware
CompassLabs
Cognizant
TVS Logistics
Star Health
WIPRO
Verizon
Ultramatics
Swaas
Shipnet
RCS
Adrenalin
L&T Infotech

Dr. V. Krithika, M.S., Ph.D.
Assistant Professor, Sri Ramachandra University, Chennai
Expert - Healthcare Data Analytics
Passionate about the mathematical concepts behind ML/AI, Management
Sriraman Kalyanaraman
Senior Project Advisor, ICSR, IIT Madras
Principal Data Architect, Resileo Labs
Research on data analytics/Machine learning.
Development of data models for different industries
Planning for dashboard visualization and dashboard security
Development of APM open source tool - APPEDO
Pichumani Nagarajan
Founder & CEO, Resileo Labs

Data analytics, ML, AI
Entrepreneurship
Kaushik Raghavan
Data Architect, Resileo Labs

Data analytics, ML, AI
Test automation
Internet scale performance testing and tuning
Currently doing PhD at IIIT-DM Kanchipuram on data analytics