[04] Case Study № 04
All case studiesPRICEPULSE AI.
Category
AI Engineering
Stack
AI Agent Engineering, OpenAI GPT-4, Data Extraction Algorithms
Type
Automation
Status
Shipped
Focus
AI Engineer
Fig. 01 — PricePulse AI · Unified flow / architecture diagramAnimated
[01] Overview
PricePulse AI is an autonomous scraping framework built for real-time retail intelligence — a stalker, but the legal, profitable kind.
AI Agent Engineering
Primary Driver
OpenAI GPT-4
Integration Layer
Data Extraction Algorithms
Infrastructure
[02] Objective
To continuously track shifting competitor pricing around the clock without a human ever refreshing a page.
[03] Solution
Built a scheduled cron worker engine leveraging custom GPT analytics to parse messy tables into clean insights.
[04] Challenges
Handling dynamic single-page applications that really, really didn't want to be scraped.
[05] Results
Optimized revenue capture, increasing targeted item margins by 8% — small number, big smug energy.
[06] Impact
By the numbers.
01
10+
Engineering Hours Saved
02
8%
Margin Optimization
03
100%
Market Sync Rate
04
129
Cups of Coffee During This Project
[07] Timeline
START
Onboarding & architecture design
BUILD
UI component library & layout styling
INTEGRATE
Core API / flow automation setup
OPTIMIZE
Testing, performance, & responsive pass
RELEASE
Shipped to production environments
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