A DTC ecommerce brand was not tracking competitor prices at all. Klevie built a competitive price monitoring engine with a margin floor underneath it, and pricing became a weekly decision instead of a guess.
The brand had no structured view of the market. Competitor prices were not tracked at all, and pricing decisions came down to feel and a sense of what the margin should be.
That works until it does not. Prices drift out of line with the market without anyone noticing, some products end up too expensive to compete and others too cheap to be worth selling, and there is no signal telling you which is which.
It leaves money on the table in both directions at once, which is the hardest kind of loss to see.
No tracking of competitor prices, at any cadence
Prices set on instinct and a rough sense of margin
Products priced too high to compete, without anyone knowing which
Products priced too low to be worth selling, for the same reason
No way to respond to a competitor's move inside a useful window
Klevie built an engine that turns pricing into an informed weekly decision: competitive monitoring of public prices across the brand's main products, margin awareness per product, and a dashboard of the products that matter.
The result is a decision grounded in two things at once, what the market is doing and what the brand can afford to do without breaking margin. The margin logic connects to contribution margin, the wider thinking sits in pricing strategy for scaling companies, and the system follows the pattern in AI systems for business operations.
Competitor prices across the brand's main products are read every week, so the market picture is current instead of a once-a-year guess.
The platform knows the margin on each product and how far the price can move while staying inside a safety margin.
Main products and their variations sit in one view, showing where the brand stands against the market.
A competitor's move can be answered in days rather than at the next planning cycle.
A competitive response never quietly pushes a product below the point where it makes sense to sell it.
The engine gives the picture and the safe range; the pricing call stays with the brand.
The main question upfront was whether a reliable weekly read on competitor pricing was achievable at all, given how protected modern ecommerce sites are. Solving that was the real engineering problem; once it was solved, the margin logic and the dashboard could sit on a feed the brand could actually trust.
The system gives the market picture and the safe range; the brand decides the actual price and the strategy behind it. The engine informs the decision rather than making it, which keeps a person in control of positioning while removing the guesswork underneath.
The +40% sales and +30% margin were seen over a period that included other work on the business. The pricing engine was one contributor among several, not the sole cause.
The engine reads the market every week and calculates the safe range for each product.
The brand sets the actual price and the strategy behind it.
