EndorsedendorsedOngoing

Data Recognition Web Application with AWS Microservices

Services Covered:

Website DevelopmentAI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

Software Development

Duration
Duration

71 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 September 2020

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable unicrew 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

mapMunich, Germany

Project Summary

Artelogic built a web application from scratch for a software development company to automate data ingestion using a C# backend and AWS microservices with a SaaS learning component. The system doubled monthly data ingestion from about 5,000 to roughly 10,000 data sets, improved accuracy, and continues to be iterated with UI/UX enhancements; the engagement began in Sep. 2020 and is ongoing.

Key Challenges

  • Manual data entry for large product databases limiting scale.
  • Need to automate ingestion despite incompatible programming languages and lack of internal AWS expertise.
  • Requirement to outsource the component due to internal resource constraints.

Project Deliverables

  • Web application for data recognition
  • Backend microservices in C# deployed on AWS
  • Operator UI for data validation and correction
  • UX/UI design improvements and iterative enhancements

Project Solution

Artelogic researched and developed an automatization solution from scratch. They implemented a C# backend and AWS microservices to power a web application that recognizes data, sorts it into database tables, and presents results to an operator via a UI for validation and correction. The vendor also supported iterative UX/UI improvements and the system uses a SaaS learning component to improve recognition over time.

Project Outcome

  • Doubled monthly data-set throughput from ~5,000 to ~10,000.
  • Increased data accuracy and reduced manual entry, freeing staff for other tasks.

Platforms

  • SaaSSaaS

Tech Stack

  • C#C#
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Thanks to Artelogic, the client went from 5,000 data sets per month to doubling it due to the successful automatization. The team handles well the timeline and communication. Overall, the client is happy with their engagement, and they’re impressed with the team’s knowledge of multiple technologies.

Anonymous

CEO

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

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