Episode

From RFID To Real-Time Retail With Radar CEO Spencer Hewett | 5IM

Podcast
Omni Talk Retail
Published
Jun 4, 2026
Duration seconds
474
Processing state
not_requested
Canonical source
https://omnitalkretail.captivate.fm/episode/from-rfid-to-real-time-retail-with-radar-ceo-spencer-hewett-5im
Audio
https://pdcn.co/e/episodes.captivate.fm/episode/15a5060e-55cf-45f6-a1f9-b9c7b49e92da.mp3
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/v1/public/podcasts/omni-talk-retail-6449360/episodes/from-rfid-to-real-time-retail-with-radar-ceo-spencer-hewett-5im
Markdown
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Summary

In this 5 Insightful Minutes episode, Spencer Hewett, CEO and Founder of Radar, joins Omni Talk to discuss the company's recent funding milestone, rapid retail expansion, and how real-time inventory intelligence is transforming store operations. Spencer shares how Radar has grown from 500 to 1,500 stores in just one year, helping retailers achieve greater inventory accuracy, reduce shrink, improve fulfillment rates, and empower store associates with real-time product visibility. The conversation also explores what differentiates Radar's technology, why real-time data is becoming the foundation of the connected store, and where RFID adoption is headed next across retail. Key Topics Covered: • How Radar expanded from 500 to 1,500 stores nationwide • Retailers reporting an 8% lift in sales and a 60% reduction in shrink • Improving online order fulfillment from 70% to 98% • Why 99%+ inventory detection accuracy changes store operations • The importance of real-time location data and low-latency insights • How connected store data can improve staffing and labor allocation • Why Radar builds both its hardware and software in-house • The future of RFID in retail and why consumer electronics could be next 🎧 Don’t forget to like, comment, and subscribe for more retail insights! #retailtechnology #RFID #inventorymanagement #retailinnovation #retailoperations #connectedstore #retailanalytics #supplychain #omnitalk #retailpodcast *Sponsored Content* This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy