Retail and Quick-Commerce Intelligence Across 1,200+ SKUs

Amazon needed a market-level view of how assortment, pricing, and discounting compared across offline retail and quick-commerce channels in Mangalore. Channelplay combined store visits with platform research so that both parts of the market could be evaluated through one evidence structure.

The Business Question

The study examined competitiveness across modern trade, kirana stores, and quick-commerce platforms. The purpose was to understand how products and offers appeared across channels rather than treating offline and online retail as separate markets.

Research Scope

Researchers visited more than 40 stores and tracked more than 1,200 SKUs across 15+ categories. The scope covered assortment, observed pricing, and discounting within the Mangalore market.

Channelplay's Approach

Store and platform observations were captured in a common structure so that the evidence could be compared across formats. Category and product records were organised before the final analysis to reduce inconsistencies between sources.

Research Output

The study produced a category and pricing intelligence view of the market, showing how assortment and discounting differed across modern trade, kirana, and quick-commerce environments.

Outcome

By combining offline visits and online research, Channelplay gave Amazon a more connected view of competitiveness in Mangalore. The output supported market assessment for the specific categories, sources, and research period covered in the brief.

Assortment, prices, and discounts are time-sensitive. Findings should be interpreted within the documented scope and period.

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