CASE STUDY 2025
From price wars
to automated
profit protection.
Algorithmic system that monitors margin in real-time against purchase prices and Heureka competition.
Impact
+15%
Gross profit increase
Price War & Margin Loss
E-shops are bleeding on margins. Supplier price changes don't get reflected in feeds in time. Manual control of thousands of items is impossible.
MANUAL BOTTLENECK
Legacy Process
Frustrated team & Lost data
AI ORCHESTRATION
Apple iPhone 15
SKU: IPH-15-BLK
22 990 Kč
+12% Margin
Competitor A (Heureka)21 490 Kč
Purchase Price20 500 Kč
Stop-Loss Active
MIN: 21 990 KčPrice protection triggered
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The Blueprint
System Architecture
Data flow diagram. Interaction between scraping, database, and Shoptet happens in seconds.
Tech Stack
SMBAirtable
Interface
ProMake
Orchestration
Pro PlanApify
Scraping
Pay-per-usageShoptet
E-shop
Standard⚡ Implementace: 1–2 týdny, rychlý start s SaaS nástroji
Vibe Coding Process
How did we build it in 7 days? We skipped lengthy specifications and went straight to code.
SpeedHigh
IterationsDaily
DAY 01 — PROTOTYPE
Logic & Feeds
Margin logic and feed integration. Definition of PNO and shipping rules.
DAY 03 — TESTING
Dry Run
Testing on 100 products. Margin calculation validation in dry mode.
git commit -m "Add Margin Protection"
DAY 07 — PRODUCTION
Full Rollout
Full deployment on 5000+ SKU. Automation runs 24/7.
Measured Results
Risk Management
Stop-Loss
Elimination of below-cost sales
Reaction Time
5 min
vs 24 hours (manual process)
“In the electronics segment, manual repricing is already mathematically unsustainable. The algorithm wins.”