Monitor sports and outdoor product prices, assortments, inventory, promotions, and competitor activity across retailers and marketplaces. Gain real-time intelligence to optimize pricing, merchandising, and category performance.
Who they are: A sports or outdoor retailer competing on both price and range, where seasonality and category breadth matter as much as being cheapest.
What success looks like: A daily view of competitor price and assortment, so they price sharply and fill range gaps before peak demand.
The client is a sports and outdoor retailer competing across categories. Identifying details are withheld; figures are illustrative.
Sports retail swings with seasons and events — running gear peaks one month, cricket the next. The client priced and stocked largely on last year's assumptions, blind to how competitors were pricing and ranging this season. They lacked a live view of competitor assortment breadth, so range gaps only surfaced after they'd lost sales.
Actowiz built a sports-retail intelligence pipeline:
Illustrative sample data — not real products or prices.
| Category | Our SKUs | Competitor avg | Gap |
|---|---|---|---|
| Running shoes | 120 | 180 | under-ranged |
| Cricket gear | 90 | 70 | ✔ well-ranged |
| Cycling | 45 | 110 | major gap |
| Category | Our index (100 = market avg) | Read |
|---|---|---|
| Running | 104 | Slightly premium |
| Cricket | 98 | Competitive |
| Cycling | 107 | Premium + under-ranged |
Cycling is the clear insight: the client is both under-ranged and priced above market — a category where they're losing on selection and price simultaneously.
| Metric | Before | After |
|---|---|---|
| Competitor pricing | Seasonal guesswork | Daily, matched |
| Assortment gaps | Found after lost sales | Mapped continuously |
| Peak-season stockouts | Reactive | Flagged early |
| Range decisions | Last-year assumptions | Data-led |
Key outcomes: daily competitor price and assortment visibility, clear category range-gap mapping, and range/pricing decisions made on current data rather than last season's assumptions.
Competitor prices, assortment breadth by category, and availability — with a seasonal lens for events and peaks.
By comparing the retailer's SKU count and coverage per category against competitors, category by category.
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