How an Electronics Retailer Improved Margin by 2.5% and Improved Pricing Accuracy with Competitor AI

Background

A fast-scaling electronics retailer competing with eCommerce giants and discount marketplaces needed a smarter way to price its growing catalog. From smartphones and wearables to gaming consoles and accessories, price transparency was high—and shoppers were comparing offers across multiple platforms before buying.

The pricing team struggled to keep up with constantly changing competitor prices across dozens of categories and SKUs. Their current tools provided delayed, incomplete data, and lacked intelligent product matching—especially when it came to bundles or private-label accessories.

• Manual tracking couldn’t scale with the SKU volume or velocity.
• Mismatched comparisons led to underpricing premium bundles and overpricing commodity items.
• Competitors moved quickly on pricing—and the retailer couldn’t respond fast enough.
• The team needed to balance margin protection with price competitiveness but lacked the data fidelity to do so confidently.

The retailer deployed Hypersonix Competitor AI to automate and elevate its competitive pricing strategy:

• Daily data collection across 30+ competitor sites
• LLM-driven product matching to align branded, private label, and bundled offers
• Advanced rules engine to automate pricing thresholds and adjust to competitor moves
• Real-time alerts on price drops, new product launches, and MAP violations

These capabilities enabled the team to transition from spreadsheet-based reaction to data-driven precision.

• Identified and corrected 100+ mismatches where accessories were overpriced vs. similar third-party alternatives
• Saved 45 hours/week by replacing manual competitive research with automated alerts and dashboards
• Improved gross margins by 2.5% through dynamic price optimization and fewer reactive markdowns
• Enabled faster product launches, armed with competitor pricing insights from day one

The Hypersonix Impact

AI-powered matching reduced false comparisons, especially between premium and lower-tier alternatives.

Enabled confident price holds and adjustments based on accurate competitive positioning.

Provided up-to-date pricing intelligence across both national brands and private labels.

Equipped teams with precise, contextualized insights to act faster and more strategically.

Data-backed pricing that drove both revenue and margin improvement