Customer Story · Real Results
OracleResults: Q2 2024
Achieving a 24x ROI: How PF Harris amplified profits by $215,000 with Profasee's AI repricing.
15
SKUs
Initial rollout used to validate the repricing strategy.
24X
ROI
Return on investment from the first activated set of ASINs.
$215,000
Incremental annualized profit
Profit lift generated by the initial deployment.
See how Profasee can grow your profit too.
About the company
PF Harris has spent nearly a century building pest control, lawn, and garden products, using Amazon as both a growth channel and a proving ground for new product ideas before expanding them into major retailers like Walmart, Home Depot, and Lowe's.
The challenge
PF Harris managed more than 100 to 130 ASINs across multiple product categories on Amazon, which made it difficult to streamline pricing, react quickly to market changes, and consistently spot where more profit was available.
The solution
Profasee introduced profit-focused, data-driven repricing for PF Harris's private label catalog, automating price experiments in the background and helping the team optimize for margin instead of manually running SKU-by-SKU pricing tests.
Key features
The impact
By partnering with Profasee, PF Harris turned repricing into a measurable profit lever, proving out the model on the first 15 SKUs and creating a repeatable path to roll the same margin gains across more of the catalog.
Key results
15
SKUs
Initial SKU set used to validate the rollout.
24X
ROI
Across the first 15 SKUs activated.
Conclusion
PF Harris proved that profit optimization did not need to live in spreadsheets or manual price tests. With Profasee handling the repricing decisions across the first 15 SKUs, the team unlocked measurable margin growth and established a clear blueprint for expanding those gains across the broader catalog.
How this was built
Solution
Amazon repricer that maximizes profit, not races to the bottom. AI repricing coordinated with demand, inventory, and ad spend for private-label sellers.
Explore amazon repricer→
Solution
Amazon dynamic pricing that adapts to demand curves, seasonality, and inventory velocity in real time. Maximize profit with continuous optimization.
Explore dynamic pricing tool→
Feature
$215,000
Annualized profit lift
From repricing alone.
Amazon price elasticity testing with controlled experiments. Discover demand curves, find optimal prices, and maximize margin without guessing.
Read about amazon price elasticity testing→
Evaluating alternatives?
Comparison
Amazon pricing, advertising, and marketplace management suite
Compare Profasee vs Trellis→
Comparison
Rule-based Amazon repricer focused on Buy Box conditions
Compare Profasee vs BQool→
Comparison
Amazon repricer focused on Buy Box competition
Compare Profasee vs Aura→
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