Customer Success Story Highlights: Competitive Pricing Intelligence with Sequentum Agent Builder

The following is a summary of a customer success story published by Webscraping.pro, highlighting a leading North American home improvement retailer’s use of Sequentum Agent Builder.

A recent Webscraping.pro customer success story highlights how a leading North American home improvement retailer used Sequentum Agent Builder to automate competitive pricing and product intelligence across multiple e-commerce websites.

The retailer's merchandising and pricing teams needed timely data on competitor prices, promotions, inventory availability, product specifications, ratings, and reviews across thousands of SKUs. Frequent website changes, anti-bot measures, expanding product catalogs, and the ongoing effort required to maintain scraping workflows made it increasingly difficult to scale.

The company turned to Sequentum Agent Builder to automate data collection, improve extraction accuracy, reduce maintenance effort, and lower operational costs.

Agent Builder in action

Agent Builder enabled the team to create data collection agents using AI and then refine them with Sequentum's Visual Editor. The agents run daily across more than 50 product categories, collecting product IDs, prices, inventory status, images, and other competitive intelligence.

Sequentum's infrastructure supported the production workflow with capabilities including Web Unblocker, proxy management, scheduling, alerts, audit logs, CAPTCHA-solving integrations, and SOC 2 Type II security controls.

Key highlights

• Faster deployment
  • 30-minute initial deployment: The first working agent for a single website was built in approximately half an hour.
  • 1-day production deployment: Agents covering eight competitor websites were deployed and tested within one day.
• 98% data accuracy: Extraction accuracy increased from approximately 60% with the retailer's previous tools.
• 3,000+ hours saved annually: Automation reduced manual effort from approximately 15 person-hours per day to just several hours, primarily spent reviewing agent logs and addressing significant fixes. Annual time savings exceeded 3,000 hours.
• $4,000/month in savings: The retailer eliminated external contractor costs associated with parser maintenance.
• Scalable data collection: Sequentum Cloud is scalable and can monitor millions of SKUs daily, supporting competitive intelligence across dozens of e-commerce websites.
• Faster market response: Near real-time competitive pricing data enabled pricing and merchandising teams to react more quickly to price changes, promotions, and inventory fluctuations.

The Role of AI in the Workflow

One of the key takeaways from the case study is how AI can accelerate the creation of web data agents while keeping humans in control of the resulting workflows.

Agent Builder uses AI to help create agents quickly, while Sequentum's Visual Editor provides the ultimate in control and customization.

This approach enabled the retailer to respond more quickly to changes in competitor websites while reducing the engineering and maintenance effort associated with competitive pricing intelligence.

Read the Full Customer Success Story

Read the full customer success story on Webscraping.pro for the complete customer success story, implementation details, and results across the eight competitor websites.

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