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Deploy automated scraper agents to monitor competitor storefronts hourly and adjust your Shopify variant pricing dynamically inside safe, cost-protected margin floors.
The Repricing Pipeline
Scrape competitor pricing, evaluate cost margins, and update store variants autonomously.
Agents crawl target competitor product landing pages hourly, capturing pricing, discount structures, and stock statuses via rotated proxy networks.
Scraped data is compared against your internal margin database to determine the optimal variant price adjustment within your configured bounds.
Approved price changes update variant pricing structures in Shopify Admin via GraphQL mutations, logged with a before/after record.
Every price change is written to a central history log; flows above a configured delta can require a Slack approval before committing.
In Practice
A real deployment, walked step by step — from hourly scraping to a multi-agent margin handoff to the floor price that never gets breached.
Kovil AI deployed hourly scraper agents against the brand's core competitive set, feeding price signals into a margin engine that only ever adjusts within a hard-coded floor.
The scraper agents crawl at normal user-like intervals through rotated proxy networks, and approved price changes commit directly to Shopify Admin via GraphQL mutations — no manual CSV upload.
The Scraper Agent captures competitor prices, the Margin Calculator checks them against cost floor and inventory, and the Repricer commits the adjustment — with every step logged to an audit trail.
Every repricing decision runs against a hard-coded margin floor, and changes above a configured delta require a manager's Slack approval before they commit.
The brand now reacts to competitor moves within the hour instead of days later, without ever risking a margin-losing price war.
Technical Features
Set strict baseline bounds so the pricing agent never discounts variants below your configured cost margin, no matter what a competitor does.
If a competitor's site layout changes, models parse the new HTML schema dynamically to correct selectors rather than silently failing.
Track every variant update inside a central history log, showing previous vs. current pricing and which competitor signal triggered it.
The repricer weighs demand elasticity signals, not just competitor price, to avoid a race-to-the-bottom on items where price isn't the primary driver.
Walkthrough
The hourly scrape detects a competitor has dropped price 15% on a directly comparable SKU.
The margin engine checks your cost floor and current inventory position for the matching item.
Since the drop would breach your configured floor price, the agent instead applies the maximum allowable discount and flags the gap.
A Slack notification summarizes the competitive gap for a manager to review a potential promotional response.
The price change and its full reasoning trail are logged to the audit dashboard for later review.
Compatibility
Manual vs. Agentic Repricing
| Capability | Manual Monitoring | Kovil AI Repricer |
|---|---|---|
| Monitoring frequency | Weekly or ad-hoc spot checks | Hourly automated scraping |
| Margin protection | Manual spreadsheet cross-check | Hard-coded floor price safeguards |
| Selector maintenance | Breaks silently when competitor sites change | Self-healing HTML schema parsing |
| Review process | No structured audit trail | Full history log with reasoning per change |
| Response time | Days to notice and react | Same-hour detection and adjustment |
FAQ
Answers regarding proxy networks and margin rules.
Partner with Kovil AI to map your margins and deploy dynamic repricer flows under a 2-week risk-free trial.