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- 1. The Future of Supermarkets and Retail Kerry Liu F O U N D E R & C E O
- 2. R U B I K L O U D . A I Why Now?
- 3. R U B I K L O U D . A I
- 4. R U B I K L O U D . A I
- 5. R U B I K L O U D . A I
- 6. R U B I K L O U D . A I £ 5 . 8 7 T R I L L I O N C A N A D A : https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=2010000801U S : https://www.census.gov/retail/marts/www/timeseries.html E U R O P E : https://www.emarketer.com/Report/Western-Europe-Retail-Ecommerce-Update-eMarketers-Estimates-Forecast-20162021/2002184 1.98%98.02%
- 7. R U B I K L O U D . A IR U B I K L O U D . A I
- 8. R U B I K L O U D . A IR U B I K L O U D . A I
- 9. R U B I K L O U D . A IR U B I K L O U D . A I
- 10. R U B I K L O U D . A IR U B I K L O U D . A I
- 11. R U B I K L O U D . A IR U B I K L O U D . A I
- 12. R U B I K L O U D . A IR U B I K L O U D . A I
- 13. R U B I K L O U D . A I Your Customers Don’t Care About Your Problems R U B I K L O U D . A I
- 14. R U B I K L O U D . A IR U B I K L O U D . A I It’s All About The Customer
- 15. R U B I K L O U D . A I L O YA LT Y N E W P R O D U C T S I N - S T O R E O M N I - C H A N N E L Here’s what your customer cares about…
- 16. R U B I K L O U D . A I What is Loyalty?
- 17. R U B I K L O U D . A I H O W C U S T O M E R S W A N T L O YA LT Y Customer LifeCycle Management R U B I K L O U D . A I > > O N L I N E B R O W S I N G > > E M A I L O F F E R > > M O B I L E O F F E R > > O N L I N E O R D E R > > I N - S T O R E > > P U R C H A S E
- 18. R U B I K L O U D . A I What is Omni-Channel?
- 19. R U B I K L O U D . A I B U Y O N L I N E P I C K U P I N S T O R E BOPIS R U B I K L O U D . A I
- 20. R U B I K L O U D . A I B U Y O N L I N E S H I P F R O M S T O R E BOLSFS R U B I K L O U D . A I
- 21. R U B I K L O U D . A I R E S E R V E O N L I N E P I C K U P I N S T O R E ROPIS R U B I K L O U D . A I
- 22. R U B I K L O U D . A I B R O W S E A N Y W H E R E S H I P H O M E BASH R U B I K L O U D . A I
- 23. R U B I K L O U D . A I B U Y I N S T O R E F U L F I L L A N Y W H E R E BISFA R U B I K L O U D . A I
- 24. R U B I K L O U D . A I B U Y O R B R O W S E W H AT E V E R I W A N T W H E N E V E R I W A N T P I C K U P O R D E L I V E R Y H O W I C H O O S E BOBWIWWIWPODHIC R U B I K L O U D . A I
- 25. R U B I K L O U D . A I What is the Store of the Future?
- 26. R U B I K L O U D . A I New Store Experiences R U B I K L O U D . A I
- 27. R U B I K L O U D . A I Emerging Brands R U B I K L O U D . A I
- 28. R U B I K L O U D . A IR U B I K L O U D . A I
- 29. R U B I K L O U D . A I But why AI?
- 30. R U B I K L O U D . A I “ ” How We Think About AI @ Rubikloud But much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type – quietly but meaningfully improving core operations. — Jeff Bezos, 2016 Amazon shareholder letter
- 31. R U B I K L O U D . A I The Promotion Planning Process Easy right?
- 32. R U B I K L O U D . A I
- 33. R U B I K L O U D . A I
- 34. R U B I K L O U D . A I What Happens When The Corner Store Became A National Chain? 1 500 250 125,0002 700 500 700,0005 1100 3000 16,500,00030 2400 52000 3,744,000,000150 4600 127,000 41,629,744,000,000375 7400 486,000 721,034,523,000,000,000 S T O R E S S K U S C U S T O M E R S P R O M O T I O N & I N V E N T O R Y V A R I A B L E S
- 35. R U B I K L O U D . A I Output / Document Supply Chain Assistant Buyer Buyer Category Director Supplier JBP Top Sheet Updated Top Sheet Promo in ODB Update to JDA Updated Forecast ODB Ordering Planogram CSV Export Brands/ Promos Review Input Refine Details Review Input Refine Load ODB Create PPF Input for PPF Create Planogram Load ODB or PPF Review Forecast Inform Supplier Finalize Forecast Review in Tool Purchase Supply Load Retek New Promo Use JPB Top Sheet Comm. Mtg Changes? If Yes Load Bid Sheet Update ODB Status Top Sheet From PPF FINALFORECASTREFRESH-1WEEK PROMOTIONLAUNCH Retailers End Up WithA Complicated 4 Month Promotion Planning Process
- 36. R U B I K L O U D . A I LEARN + OPTIMIZE LEARN + OPTIMIZE ACTIVATE ACTIVATE Output / Document Supply Chain Assistant Buyer Buyer Category Director Supplier JBP Top Sheet Updated Top Sheet Promo in ODB Update to JDA Updated Forecast ODB Ordering Planogram CSV Export Brands/ Promos Review Input Refine Details Review Input Refine Load ODB Create PPF Input for PPF Create Planogram Load ODB or PPF Review Forecast Inform Supplier Finalize Forecast Review in Tool Purchase Supply Load Retek New Promo Use JPB Top Sheet Comm. Mtg Changes? If Yes Load Bid Sheet Update ODB Status Top Sheet From PPF FINALFORECASTREFRESH-1WEEK PROMOTIONLAUNCH Rubikloud Forecast in Rubikloud With Machine Learning We Have Automated The Four Most Manually Intensive Parts Of This Process
- 37. R U B I K L O U D . A I Tapping into the Consumer
- 38. R U B I K L O U D . A I Has the shopping experience really gotten better?
- 39. R U B I K L O U D . A IR U B I K L O U D . A I
- 40. R U B I K L O U D . A I You’ve been sold a lie
- 41. R U B I K L O U D . A IR U B I K L O U D . A I @jess hardware vs cloud Years vs months $$$$$ vs $$ in this similar style?? 3 diagonal panes
- 42. W H I C H C A N M E A N B E I N G F A C E D W I T H M O R E T H A N 33,560,322,120 P O S S I B L I T I E S F O R T A R G E T I N G A C U S T O M E R I N D I V I D U A L L Y 8,493,625 LOYALTY MEMBERS 13 COMMUNICATION STRATEGIES 38,439 PRODUCTS 23 OFFER TYPES 365 DAYS/YEAR 8 MARKETING CHANNELS The magnitude of customer – centric marketing
- 44. 8,493,625 LOYALTY MEMBERS 13 COMMUNICATION STRATEGIES 38,439 PRODUCTS 23 OFFER TYPES 365 DAYS/YEAR 8 MARKETING CHANNELS 01 | E M A I L 02 | I N S T O R E 03 | M O B I L E
- 47. R U B I K L O U D . A I Slide No. 47 S N A P S H O T O F Financial Impact of AI
- 48. R U B I K L O U D . A I Slide No. 48 U S E C A S E : P R O M O +$7.5 to $9.5M Less Stock-outs +$12.5 to $15.5M Less Excess Inventory Held in Store +1200 – 1600 Days Full-Time Employee Days Saved in a Year Health And Beauty Retailer $6B European Mass Beauty Retailer 31% Reduction in Stock Outs 50% Reduction in Time 30% Increase in Forecast Accuracy
- 49. R U B I K L O U D . A IR U B I K L O U D . A I Speed Impact Skill+ $ How do you Prioritize an AI Project?
- 50. R U B I K L O U D . A IR U B I K L O U D . A I Speed Impact Skill+ $
- 51. R U B I K L O U D . A I VALUE T I M E Rubikloud Everyone else A C T I V A T E O P T I M I Z EL E A R N
- 52. R U B I K L O U D . A I I ’ M C O N F I D E N T W E C A N H E L P kerry@rubikloud.com R U B I K L O U D . A I
Notas do Editor
- loyalty is built at every touchpoint, social, web, add UK brands, tesco, boots, amazon prime loyalty,
- kerry to re-name, any level of convience, omni channel is dead
- WALMART PICKUP / CAR
- uk lumber company, homebase.com.uk
- FASHION/ELECTRONICS/APPLES STORE
- Sonos/casper
- Gymshark image
- Picture your corner store in your neigbourhood. Put yourself in the shoes of that store owner.
- You have decide how many skus to carry (300-500), which ones to discount, how much to discount them by, how often to discount it, how much inventory to carry per sku, and how often to restock the sku’s. What about the Milk? That’s going to go bad in 2 weeks where the chips will last 3 months.
- Now that single store has become a regional, and ultimately national chain. It’s now Loblaws, or Rexall, or Staples, or Wal-Mart. Suddenly all of those questions we asked earlier are now impossible combinatoric problems for any person or current system to solve. This is why inventory, pricing, and promotion accuracy are dismal in retail and the consumer experience is getting worse.
- You end up with a system like this, a 4 month promotion planning process, and 24 manual steps along the way.
- With Promotion Manager, we have eliminated about 50-60% of the manual system steps, and automatically inserted the right inventory, pricing, allocation, and promotional mechanic to every stage along the process, and we can reforecast in hours.
- You have all of the same products, prices promotional strategies, only now you also have the ability to customer a price, or offer for individual loyalty members. This is where your customers are comparing you to Amazon. Again, not a combinatoric problem a person or existing non AI system can solve.
- It doesn’t stop us from trying
- I forgot, we also have so many different methods of communicating with our customers.
- Now the results are usually completely volatile and never consistent for each channel. This is what causes you to get an email offer for Shampoo a day after you bought a litre of Shampoo.
- Again, we think this is something an AI system can do much more efficiently and effectively. Jeff Bezos said it best. Where we deploy machine learning, is behind the scenes. It’s used for the selection of dynamic pricing for each individual, products recommendations, and inventory allocation.
- All of this is great, but let’s be very clear. AI still has to pass the same test of every piece of software that has ever survived in the cuthroat enterprise software market. It has to deliver a significant ROI. In fact, to the equity research analysts in the audience, I would challenge every one of you to ask your CFO’s and CEO’s two questions on their next earnings call. What is your enterprise AI strategy? Give me the use cases What is the financial impact on your bottom line and how long will it take to pay back? I GUESS THAT WAS FOUR QUESTIONS, BUT YOU GET MY IDEA. So what are our results?