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Navratri Mega Sale Price Tracking

At a Glance

  • Industry Sports & outdoor retailer
  • Sources Monitored Competitor sports retailers & marketplaces
  • Focus Price, assortment gaps, availability, seasonality
  • Delivery Daily price & assortment feed
  • Engagement Ongoing managed pipeline

Ideal Customer Profile (ICP)

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.

Core pain points:
  • Competitor pricing shifts seasonally and around events; static views lag.
  • No clear picture of where their assortment is thinner than competitors'.
  • Availability gaps during peak season go unnoticed until sales suffer.

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 (anonymized)

The client is a sports and outdoor retailer competing across categories. Identifying details are withheld; figures are illustrative.

The Challenge

Navratri Mega Sale Price Tracking

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.

The Solution

Actowiz built a sports-retail intelligence pipeline:

  • Competitor price tracking across matched products, refreshed daily.
  • Assortment mapping — category-by-category breadth vs competitors.
  • Availability tracking — flags competitor and own stockouts during peak windows.
  • Seasonal view — how pricing and range shift around seasons and events.

Sample Output

Illustrative sample data — not real products or prices.

Assortment gap by category
Category Our SKUs Competitor avg Gap
Running shoes 120 180 under-ranged
Cricket gear 90 70 ✔ well-ranged
Cycling 45 110 major gap
Price position (matched SKUs)
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.

Results

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.

FAQ

What does sports retail intelligence track?

Competitor prices, assortment breadth by category, and availability — with a seasonal lens for events and peaks.

How are assortment gaps identified?

By comparing the retailer's SKU count and coverage per category against competitors, category by category.

All client details anonymized. Figures and sample data are illustrative.
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