endorsedCompleted

Recommendation Engine Development for E-commerce Site

Services Covered:

Custom Software Development

Industry

E-commerce & Retail

Duration

4 months

Budget

10K - 49K

Start Date

1 January 2019

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

70/100

Good

Project Capability Score (PCS) estimates how capable Liquid 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

Royal Pharma

Karachi, Pakistan

Project Summary

Liquid Technologies developed a Python-based recommendation engine and integrated it with an existing online marketplace. The implementation increased online purchases, and the vendor completed the project on time while demonstrating professional project management.

Key Challenges

Implement a recommendation engine into the e-commerce store
Improve recommendation quality to produce good results for the store

Project Deliverables

Recommendation engine developed in Python
Integration with existing online marketplace

Project Solution

They developed a recommendation engine in Python and implemented it into the client's existing online marketplace. The client primarily communicated with a project manager during the engagement.

Project Outcome

Increased sales on the client's store
Completed on time with effective project management
Professionalism impressed the client

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Online purchases increased after the team implemented the system. A deadline-oriented team, they maintained a well-structured project management style.”
Yasin Kodvavi
CEO
Date: 05/16/2019