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What did we learn in season two?

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Contenuto fornito da Peter Denby. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peter Denby o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This is To Affinity & Beyond; HyperFinity’s podcast about decision intelligence, data science and AI for retail.

In the final episode of season two, we’re looking back at the topics we’ve covered over the last couple of months. Host Peter Denby walks through sound bites from each episode – from demand forecasting and decision intelligence to location planning and 2023’s retail trends.

Resource one: The state of retail in 2023, part one – https://hyperfinity.ai/resources/the-state-of-retail-in-2023-part-one

Resource two: The state of retail in 2023, part two – https://hyperfinity.ai/resources/the-state-of-retail-in-2023-part-two

Resource three: Why is demand forecasting a huge opportunity for retailers? – https://hyperfinity.ai/resources/why-is-demand-forecasting-a-huge-opportunity-for-retailers

Resource four: What is decision intelligence for retail? – https://hyperfinity.ai/resources/what-is-decision-intelligence-for-retail

Resource five: Why should I buy from you? – https://hyperfinity.ai/resources/why-should-i-buy-from-you

Resource six: From data to devotion: How to create loyal customers using analytics – https://hyperfinity.ai/resources/how-to-create-loyal-customers-using-analytics

Resource seven: What’s the future of decision intelligence? – https://hyperfinity.ai/resources/what-is-the-future-of-decision-intelligence

Resource eight: Why should data inform a retailer’s location? – https://hyperfinity.ai/resources/why-should-data-inform-a-retailers-location

Email peterdenby@hyperfinity.ai with your comments and hit subscribe to keep up to date.

  continue reading

19 episodi

Artwork
iconCondividi
 
Manage episode 366132714 series 3279178
Contenuto fornito da Peter Denby. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peter Denby o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This is To Affinity & Beyond; HyperFinity’s podcast about decision intelligence, data science and AI for retail.

In the final episode of season two, we’re looking back at the topics we’ve covered over the last couple of months. Host Peter Denby walks through sound bites from each episode – from demand forecasting and decision intelligence to location planning and 2023’s retail trends.

Resource one: The state of retail in 2023, part one – https://hyperfinity.ai/resources/the-state-of-retail-in-2023-part-one

Resource two: The state of retail in 2023, part two – https://hyperfinity.ai/resources/the-state-of-retail-in-2023-part-two

Resource three: Why is demand forecasting a huge opportunity for retailers? – https://hyperfinity.ai/resources/why-is-demand-forecasting-a-huge-opportunity-for-retailers

Resource four: What is decision intelligence for retail? – https://hyperfinity.ai/resources/what-is-decision-intelligence-for-retail

Resource five: Why should I buy from you? – https://hyperfinity.ai/resources/why-should-i-buy-from-you

Resource six: From data to devotion: How to create loyal customers using analytics – https://hyperfinity.ai/resources/how-to-create-loyal-customers-using-analytics

Resource seven: What’s the future of decision intelligence? – https://hyperfinity.ai/resources/what-is-the-future-of-decision-intelligence

Resource eight: Why should data inform a retailer’s location? – https://hyperfinity.ai/resources/why-should-data-inform-a-retailers-location

Email peterdenby@hyperfinity.ai with your comments and hit subscribe to keep up to date.

  continue reading

19 episodi

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