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Why Retailers Can't Ignore Competitive Intelligence With ClearDemand CPO Rajat Nigam
Manage episode 482514742 series 3522161
A tartalmat a Omni Talk Retail biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Omni Talk Retail vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this deep-dive Omni Talk Spotlight, Chris Walton and Anne Mezzenga are joined by Rajat Nigam, Chief Product Officer at ClearDemand, to unpack the critical role of competitive intelligence in modern retail pricing. Formerly leading pricing innovation at Amazon, Rajat explains how engineering, data quality, and normalization are central to making pricing intelligence truly actionable — and profitable. From assortment gap analysis to real-time pricing enabled by electronic shelf labels, this episode explores the full retail stack of competitive data strategy.
Key Moments:
- (1:00) Rajat's background and Amazon's secret pricing project
- (2:40) What makes “good” competitive intelligence
- (5:00) The three hardest problems in competitive data
- (7:30) Matching pack sizes and normalizing prices
- (10:00) Competitive data beyond pricing – assortment, promotions, planning
- (14:00) Where comp intel works best: grocery vs. luxury
- (17:00) Role of price elasticity in retail strategy
- (20:00) How to start: KVI items, category focus, and data gap analysis
- (23:30) Agility in pricing with ESLs and real-time data
- (25:00) Final thoughts and predictions for the future of pricing
#RetailTech #CompetitiveIntelligence #PricingStrategy #RetailInnovation #ClearDemand #OmniTalk #GroceryTech #RetailData #amazon #PriceOptimization
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