Skidsteers.com is an American online store selling products exclusively to professional users: construction companies, farms, and other businesses that use excavators and mini excavators. This project was our client’s second business, who also ran a store selling custom-made engagement rings.
After a year of working on both projects, the client made a strategic decision to close the ring store due to profitability issues—returns of 5% generated hard-to-sell stock worth over $100,000. At the same time, we were tasked with scaling the construction equipment store from $1 million to $10 million per year.
The first step in automation was to replace the outdated Magento platform with a dedicated e-commerce engine. After six months of development, a system with automatic checkout and payments without redirects was created, which significantly shortened the purchase path.
After a year and a half of growth, a problem arose—sales stalled and ERS (advertising cost to revenue ratio) began to rise. Initially, we attributed this to external factors, but when ERS reached a critical level after three months of decline, we implemented advanced AI analysis at the individual session level.
The breakthrough moment came when we discovered bot traffic patterns that Google’s algorithms did not detect. Our AI systems identified thousands of malicious clicks per day that were wasting the budget of the campaign with the highest purchase intent. Automatic anti-fraud tools effectively cleaned up the traffic and restored the campaign’s effectiveness.
At the same time, we implemented product management automation—the system transformed configurable products into 15,000 ready-made variants, generating tens of thousands of additional organic sessions per month.
We are currently continuing our efforts to achieve $20 million in annual sales, leveraging the full potential of automation and AI in e-commerce.