Big Data in Retail - Examples in Action

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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

big data, big opportunities:
retail industry

It is the busiest shopping time of the year

and one video game is flying
off the shelves.

In the past, stores
that reacted to this
demand the fastest...

But today, top retailers are using

BIG DATA
to gain a competitive advantage

and preparing for future demand.

edicting trends and preparing for future dema

BestMart wants to become the sales
leader for video games this season.

First, BestMart needs to predict the
hot gaming item for this season.

Big data analytics combines enterprise
data with other relevant information

BestMart also uses big data to predict
areas where demand would be greatest.

Now they can stock up and
deliver the right number of
games to the right channels.

Then, big data insights can provide
the base for price optimization models.

Real-time analytics help BestMart
synchronize prices hourly with demand,
inventory and the competition.

Next, BestMart wants to pinpoint the
customers who will likely buy this game

by segmenting customers according
to expected buying behavior

contacting them as they wish to be
reached

and engaging them with
personalized real-time offers.

Finally, BestMart wants to know what
other items customers would likely
purchase with this game.

Big data performs deeper analytics on
all data

to find meaningful patterns and
hidden insights.

BestMart uses this insight to create an
exclusive console and game bundle.

Ultimately, retailers using big data technology

are able to provide a smarter shopping
experience

Learn more about big data at
IBMbigdatahub.com

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Big Data in Retail - Examples in Action

1. big data, big opportunities: retail industry

2. It is the busiest shopping time of the year

3. and one video game is flying off the shelves.

5. In the past, stores that reacted to this demand the fastest...

6. had the advantage.

7. But today, top retailers are using BIG DATA to gain a competitive advantage

8. Predicting trends edicting trends

9. and preparing for future demand. edicting trends and preparing for future dema

10. BestMart wants to become the sales leader for video games this season.

11. Their work started months ago...

12.

13. First, BestMart needs to predict the hot gaming item for this season.

14. Big data analytics combines enterprise data with other relevant information

15. to create predictive models of trends.

16. BestMart also uses big data to predict areas where demand would be greatest.

17.

18. Now they can stock up and deliver the right number of games to the right channels.

19. Then, big data insights can provide the base for price optimization models.

20. Real-time analytics help BestMart synchronize prices hourly with demand, inventory and the competition.

21. Next, BestMart wants to pinpoint the customers who will likely buy this game

22. by segmenting customers according to expected buying behavior

23. contacting them as they wish to be reached

24. when they are in the right location

25. and engaging them with personalized real-time offers.

26. Finally, BestMart wants to know what other items customers would likely purchase with this game.

27. Big data performs deeper analytics on all data

28. to find meaningful patterns and hidden insights.

29. BestMart uses this insight to create an exclusive console and game bundle.

30. Ultimately, retailers using big data technology

31. are able to provide a smarter shopping experience

32. to influence purchase decisions

33. and edge out the competition.

34. Learn more about big data at IBMbigdatahub.com

Big Data in Retail - Examples in Action

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