))
Why Retailers Can't Ignore Competitive Intelligence With ClearDemand CPO Rajat Nigam
Manage episode 482514742 series 3522161
Content provided by Omni Talk Retail. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Omni Talk Retail or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.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
Music by hooksounds.com
*Sponsored Content*
186 episodes
Share
