Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Big Data in Retail - Examples in Action

1 172 vues

Publié le

This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com

Follow us on Twitter.com/IBMbigdata

Publié dans : Business, Technologie
  • Soyez le premier à commenter

Big Data in Retail - Examples in Action

  1. 1. big data, big opportunities: retail industry
  2. 2. It is the busiest shopping time of the year
  3. 3. and one video game is flying off the shelves.
  4. 4. In the past, stores that reacted to this demand the fastest...
  5. 5. had the advantage.
  6. 6. But today, top retailers are using BIG DATA to gain a competitive advantage
  7. 7. Predicting trends edicting trends
  8. 8. and preparing for future demand. edicting trends and preparing for future dema
  9. 9. BestMart wants to become the sales leader for video games this season.
  10. 10. Their work started months ago...
  11. 11. First, BestMart needs to predict the hot gaming item for this season.
  12. 12. Big data analytics combines enterprise data with other relevant information
  13. 13. to create predictive models of trends.
  14. 14. BestMart also uses big data to predict areas where demand would be greatest.
  15. 15. Now they can stock up and deliver the right number of games to the right channels.
  16. 16. Then, big data insights can provide the base for price optimization models.
  17. 17. Real-time analytics help BestMart synchronize prices hourly with demand, inventory and the competition.
  18. 18. Next, BestMart wants to pinpoint the customers who will likely buy this game
  19. 19. by segmenting customers according to expected buying behavior
  20. 20. contacting them as they wish to be reached
  21. 21. when they are in the right location
  22. 22. and engaging them with personalized real-time offers.
  23. 23. Finally, BestMart wants to know what other items customers would likely purchase with this game.
  24. 24. Big data performs deeper analytics on all data
  25. 25. to find meaningful patterns and hidden insights.
  26. 26. BestMart uses this insight to create an exclusive console and game bundle.
  27. 27. Ultimately, retailers using big data technology
  28. 28. are able to provide a smarter shopping experience
  29. 29. to influence purchase decisions
  30. 30. and edge out the competition.
  31. 31. Learn more about big data at IBMbigdatahub.com

×