endorsedCompleted

SaaS Platform and Analytics for Advertising & Marketing Company

Services Covered:

Custom Software Development • AI and Machine Learning • Website Development

Industry

Advertising & Marketing

Duration

2 months

Budget

10K - 49K

Start Date

1 March 2025

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable ScaleTech Solutions 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

Germany

Project Summary

ScaleTech Solutions developed a SaaS platform for an advertising and marketing company, delivering system architecture, core features, an analytics engine, dashboards, DevOps, QA, and documentation. The prompt generator component works well after optimization and overall product quality and communication were praised. The project experienced approximately a four-week delay in core-scope delivery and some ongoing optimization work for additional features.

Key Challenges

Develop a SaaS platform

Project Deliverables

System architecture (LLM-provider adapter pattern; Dockerised Django + Celery; PostgreSQL schema)
Core features (secure user onboarding; project & prompt management; OpenAI call scheduler; response storage)
Analytics engine (automated extraction of brand/competitor/link mentions; weighted scoring; daily aggregation jobs)
Dashboards (React/Next.js UI with tables and mini-charts)
DevOps & QA (AWS staging & production; GitHub Actions CI/CD; unit and integration tests; load-test scripts)
Documentation & handover (API docs, admin guide, roadmap for future LLM and analytics features)

Project Solution

ScaleTech implemented a Dockerised Django backend with Celery workers and a PostgreSQL schema, created core product features (secure onboarding, project and prompt management, OpenAI call scheduler, response storage), built an analytics engine for automated extraction and scoring, and delivered a React/Next.js dashboard UI. They also managed DevOps on AWS with CI/CD (GitHub Actions), provided testing (unit and integration), load-test scripts, and documentation and handover materials.

Project Outcome

The prompt generator is working well after optimization.
Integration of other features is ongoing and in an optimization phase.
The team generally met weekly deadlines but experienced an approximately four-week delay in delivering the core scope.

Platforms

SaaS

Tech Stack

Django
Celery
PostgreSQL
React.js
Next.js
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.5

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The client was satisfied with ScaleTech Solutions' work. The prompt generator worked well. ScaleTech Solutions demonstrated excellent communication. The team was reachable and responsive, which made collaboration smooth and efficient. Overall, the project was handled very professionally.”
Anonymous
CEO
Date: 04/29/2025