endorsedOngoing

Transport Optimization Software for Consulting Firm

Services Covered:

Custom Software Development

Industry

Logistics & Transportation

Duration

105 months

Budget

Confidential

Start Date

1 November 2017

Team Size

6-10 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

72/100

Good

Project Capability Score (PCS) estimates how capable Kindgeek 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

Confidential

Frankfurt am Main, Germany

Project Summary

KindGeek developed transit-management optimization software using Java Enterprise Edition and a microservices architecture with AWS data processing. The vendor delivered route-optimization logic for cruise-harbor transport and supported the client with a flexible, scalable team (six to eight people). The client reported minor bugs only, high satisfaction, and ongoing engagement since November 2017.

Key Challenges

Rapid company growth and new contracts created insufficient in-house development capacity

Project Deliverables

Transit management optimization software
Route optimization logic implemented with Java Enterprise Edition
AWS data processing pipelines
Microservices-based backend system

Project Solution

KindGeek built a transit management optimization system that finds optimized transportation routes for cruise-line operations at origin and destination harbors. The team implemented route-optimization logic using Java Enterprise Edition in a microservices architecture and leveraged AWS for data processing. KindGeek also provided flexible resourcing, adjusting the six-to-eight-person team per milestone and supporting smaller related projects.

Project Outcome

Minor bugs only; issues were minor and addressed
End customer satisfied and expanded scope with new functionalities
Responsive management and ability to scale resources quickly
Reliable project management with clear reporting and daily contact

Platforms

Cloud

Tech Stack

Java
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The system received positive feedback from the customer and the end user. They're a flexible team who can scale their resource commitment as needed, and they deliver on short deadlines.”
Anonymous
CTO
Date: 09/11/2019