EndorsedendorsedCompleted

Data Ingestion and Service Development for Lola.com

Services Covered:

Custom Software DevelopmentApplication IntegrationSoftware Maintenance and Support
Project hero — replace with case study imagery
Industry
Industry

Business Consulting & Services

Duration
Duration

43 months

Budget
Budget

Confidential

Client Size
Start Date

1 January 2018

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Arbisoft 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

Lola.com

mapBoston, United States of America

Project Summary

Arbisoft developed and maintained backend data ingestion processes and built services for Lola.com, a travel and spend management firm. The team consolidated data from multiple travel providers into a single dataset and built platform services that integrated third-party augmented data. Arbisoft embedded as scrum team members, supported ongoing maintenance, and used technologies such as Python, Elasticsearch, PostgreSQL, React, and Kubernetes. The delivered solution enabled a rapid launch of a new product line and improved core product flows.

Key Challenges

  • Develop and maintain backend data ingestion processes from multiple travel providers
  • Build services to augment functionality on the client's site and integrate third-party data
  • Embed with internal teams to increase team throughput and support product development

Project Deliverables

  • Data ingestion pipelines consolidating provider data into a local dataset
  • Services in the Lola services platform to integrate third-party augmented data
  • Embedded scrum team members contributing as part of multiple teams
  • New service for a product line that improved primary use case flows

Project Solution

Arbisoft built and maintained data ingestion processes that pulled information from multiple travel providers into a single local dataset using Python, Elasticsearch, and PostgreSQL. They developed new services in the Lola services platform to integrate third-party augmented data and embedded as scrum team members on multiple teams, using React and Kubernetes where applicable. They also provided ongoing maintenance and supported the launch of a new product line.

Project Outcome

  • The team helped build and launch a completely new product line quickly.
  • Arbisoft maintained and improved existing products, enabling the client to allocate resources toward the new product.
  • A newly built service dramatically improved flows for a primary use case.

Platforms

  • WebWeb

Tech Stack

  • PythonPython
  • ElasticsearchElasticsearch
  • PostgreSQLPostgreSQL
  • React.jsReact.js
  • KubernetesKubernetes

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The delivered solution met all of the client's needs and expectations. Arbisoft communicated efficiently and managed tasks well, ensuring a productive and delay-free collaboration. The team impressed with their ability to quickly understand each requirement and provide solutions to complex problems.

Chris Stasonis

VP of Engineering

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

More Projects by Arbisoft

Ongoing
Business Consulting & Services

React Native Mobile App for Talent Management Platform

Preview of the React Native Mobile App for Talent Management Platform
Budget:
Confidential
Duration:
58 months
Team Size:
16-20

Services Covered:

+3 more
Ongoing
Business Consulting & Services

React Native Mobile App for JobCase (Employment Platform)

Preview of the React Native Mobile App for JobCase (Employment Platform)
Budget:
Confidential
Duration:
80 months
Team Size:
11-15

Services Covered:

+1 more