Web Application & Document Automation for Construction Tech Company
Services Covered:

Industry
Construction
Duration
72 months
Budget
50K - 199K
Start Date
1 August 2020
Team Size
6-10 Employees
Engagement Model
Onshore
Project Capability Score (PCS)
72/100
Good
Project Capability Score (PCS) estimates how capable Algoscale 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
Confidential
Project Summary
Algoscale developed a Python-based web application for a construction-tech client, enabling upload and digitization of building plans, automating internal workflows, and providing an automated crawler to collect manufacturer documentation. They implemented PDF processing and CR-engine integration and continue to provide ongoing maintenance and support. The client praised the deliverable quality, team responsiveness, and ongoing collaboration.
Key Challenges
- Get the beta product developed into a production web application
Project Deliverables
- Python web application hosting the client's central IT and data access
- Automated web crawler to download manufacturer product documentation and catalogs
- Integration with a CR engine to process PDF drawings and building plans
- PDF processing feature supporting uploads, mockups, annotations, and document compilation
- UI/UX implementation based on provided screenshots and storyboard
- Ongoing maintenance and support
Project Solution
Developed a Python web application that hosts the client's central IT, allowing users to upload building plans and documents to digitize and automate internal workflows. Implemented an automated web crawler to collect manufacturer product documentation, integrated an existing CR engine to extract information from PDFs and drawings, and delivered a PDF processing feature for annotating and compiling documents. Implemented UI/UX per provided screenshots and storyboard and provides ongoing maintenance and support.
Project Outcome
- Client satisfaction with deliverables and quality of work
- Strong team responsiveness and an excellent ongoing working relationship
- Daily Slack communication and regular meetings to manage updates and priorities
- Attentive support and quick responses from the vendor, with minor suggested improvements in communication/accountability
Platforms
Web
Tech Stack
Python
Client Endorsement
Overall Review Rating
4.25
4 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“The client is happy with the quality of Algoscale Technologies, Inc.'s deliverables. They lead a responsive process to ensure good communication throughout the ongoing engagement. The client also praised the team's attentiveness and availability.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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