Analyst report
A bicycle retailer was busy but unsure where the profit actually came from. The shop carried complete bikes, components, clothing and a long tail of accessories, and the team's effort was spread evenly across all of it.
Ranked honestly by the profit each product delivered, a small group of hero models carried the bulk of profitability. Meanwhile a wide range of low-value accessories sold in volume but contributed little, quietly absorbing attention and shelf space.
What the data showed
Products were ranked by absolute profit, not popularity. The result was a clear Pareto: focus belonged on the hero models and the categories around them, not on the busy-but-thin long tail.
What changed
The shop concentrated promotion and stock depth on the proven carriers, and trimmed the accessories that added complexity without margin. Effort moved to where it actually paid.
The result
A live dashboard now ranks products by real contribution, and an AI assistant answers product and category questions on demand, so range decisions are made on evidence, not habit.