EndorsedendorsedCompleted

Manufacturer Name Identification AI and Web Scrapers

Services Covered:

Custom Software Development
Project hero — replace with case study imagery
Industry
Industry

Information Technology

Duration
Duration

4 months

Budget
Budget

Less than 10K

Start Date
Start Date

1 August 2019

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable Quytech 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

mapCampbell, United States of America

Project Summary

Quytech was hired to build an AI solution that identifies manufacturers' names from partial input and part numbers and to scrape full manufacturer names from specified URLs. The vendor completed roughly 70% of the work but stopped responding in December 2019, leaving only three of the eight required scraping URLs implemented and delivering nonworking code that prevented the client's planned December 2019 launch.

Key Challenges

  • Identify manufacturer's name from partial characters and part numbers.
  • Scrape full manufacturer's names from eight specified URLs.
  • Deliver a complete, working software package with all scraping URLs intact.

Project Deliverables

  • AI-based name identification module
  • Web scrapers for specified URLs
  • Source code / software package

Project Solution

The vendor developed an AI-based solution to identify a manufacturer's name from partial characters and a part number and implemented web scrapers intended to pull the full manufacturer name from eight specified URLs. They completed approximately 70% of the work and delivered partial code covering three of the eight URLs. The team included 8–10 people and listed roles such as an admin, coordinator, and a Python developer before the vendor ceased communication in December 2019.

Project Outcome

  • The vendor did not deliver the final round of code, harming the client's ability to launch as planned in December 2019.
  • The delivered code was incomplete and only supports 3 of the 8 required scraping URLs.
  • Project management began well but communication slowed when scraping issues arose and ultimately stopped.

Platforms

  • AI/ML PlatformAI/ML Platform
  • WebWeb

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

4.25star4 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

After completing a portion of the project, the Quytech stopped responding to the client. The team initially provided examples of products until running into roadblocks while scraping the provided sites.

Gerald Willis

President

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

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