Backend Development for Customer Loyalty Program
Services Covered:

Industry
Advertising & Marketing
Duration
25 months
Budget
Confidential
Start Date
1 October 2022
Team Size
1-5
Engagement Model
Nearshore
Project Capability Score (PCS)
75/100
Good
Project Capability Score (PCS) estimates how capable SENLA 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
Monetha
Project Summary
SENLA provided backend development support for a customer loyalty program's website and mobile app, primarily using Golang, PostgreSQL, Elasticsearch and Python and introducing Temporal to optimize workflows. The vendor implemented and supports four services and is praised for clear communication, timely execution, and reliable delivery.
Key Challenges
- Increase capacity of building backend services
Project Deliverables
- Backend services for the website
- Backend services for the mobile app
- Temporal workflow implementation
- Bug fixes and occasional Python fixes
Project Solution
SENLA provided backend development services for the client's website and mobile app. They worked primarily with Golang, PostgreSQL, and ElasticSearch, introduced Temporal to optimize workflows, and occasionally handled fixes in Python. The engagement focused on implementing and supporting backend services for the loyalty program.
Project Outcome
- Implementation and support of 4 services
- Strong communication, timely execution, and reliable delivery that aligned with client processes
Platforms
Web
Mobile
Tech Stack
Go
PostgreSQL
Elasticsearch
Python
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“SENLA has successfully implemented four services for the client. The team manifests their professionalism through clear communication, timely execution, and high-quality deliverables. Moreover, their strong dedication to the project is evident in every aspect of their work.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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