revolutionizing category management in retail propel
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Revolutionizing Category Management in Retail Propel brings to our customers... Financial Operational Strategic value value value Optimized assortment Thousands of person Rapid scenario and space drive hours saved through planning


  1. Revolutionizing Category Management in Retail

  2. Propel brings to our customers... Financial Operational Strategic value value value Optimized assortment Thousands of person Rapid scenario and space drive hours saved through planning & highly increase in sales and the automation of accurate prescriptions reduction in assortment & space deepens relationship out-of-stocks between supplier and retailer 2 DATA HAS A BETTER IDEA

  3. Introducing the dreaded planogram relay 150 33 15+ Number of steps Number of weeks it Number of people necessary to take in the takes to complete a required to do the current planogram planogram relay work of a single relay process planogram relay 3 DATA HAS A BETTER IDEA

  4. Ripple effects of this cause a lot of collateral damage ● CPG suppliers have to adapt product innovation release schedule ● Shoppers only see new items once or twice a year Retailers can only handle 1-2 relays per year ● Advisor team utilization inefficient - exceeding capacity for 33 weeks and underutilized for the other 19 weeks ● Massive labor strain ● Non-optimized use of labor All stores get changed all at once ● Markdowns ● Shoppers hate change! 4 DATA HAS A BETTER IDEA

  5. To solve the problem and revolutionize the category management industry, two things were missing... Technology/Science Industry Vision ● AI / ML ● Industry doesn’t want to change ● Advanced optimization ● Tradition of macro-thinking ● Dynamic cloud computing ● Silo mentality ● Industry slow to adopt data science ● Solution thinking only within own industry 5 DATA HAS A BETTER IDEA

  6. We are both inside and outside the box, practitioners and academics 6

  7. We specialize in prescriptive analytics Our competition stop here 7

  8. Our approaches are novel and based on latest academic thinking We utilize an unique constraint programming modelling technique: Specify what is to be solved, not how to solve it 8 DATA HAS A BETTER IDEA

  9. our algorithms ‘learn’ basic hard and soft rules of planogram aesthetics - speeds up onboarding Example hard rules: ● Allowable shelves Example soft rules: ● Adjacencies 9 DATA HAS A BETTER IDEA

  10. We quantify decision making, human judgement Give me the highest possible DOS DOS 5.1 Give me the highest possible DOS, but make it look pretty (and be safe for shoppers) DOS 2.4 10 DATA HAS A BETTER IDEA

  11. We are pushing the industry from national → market → clustered → store-specific VS. We nourish and treat individual trees, not crop dust the entire orchard 11 DATA HAS A BETTER IDEA

  12. making mutually aware optimization Space and assortment are now optimized together 12 DATA HAS A BETTER IDEA

  13. Response has been overwhelming We went to them They came to us 13 DATA HAS A BETTER IDEA

  14. We remove quantification of human judgment or “bias” in near real time. This gives users, for the first time: “evaluate & execute” powers Know with precision BEFORE you go all out 14 DATA HAS A BETTER IDEA

  15. A lot of time is spent on activities/tasks that do not add value to your decision making process... Implementation/ Analysis & rules Planning Without Data collection AI Strategy Most of your precious time is spent on data collection, analysis, review business rules, conducting “what ifs” etc.. 15 DATA HAS A BETTER IDEA

  16. We swap this by automate & augment this allowing for more strategic thinking which humans are good at… Implementation/ Without Analysis & rules Planning Data collection AI Strategy Data Analysis Implementation/ With Planning AI collection & rules Strategy We want to swap allowing what humans do well, critical thinking, intuition etc 16 DATA HAS A BETTER IDEA

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