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PUTTING TECHNOLOGY TO WORK

PUTTING TECHNOLOGY TO WORK. Stephan Mercier LOC Software. ANALYTICS. Analyses ads (lost, lifting) KPI (key performance indicator) Price sensitivity Price optimization Forecast Basket level analyses Product/category affinity Customer segmentation Basket size Sales Profit.

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PUTTING TECHNOLOGY TO WORK

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  1. PUTTINGTECHNOLOGYTO WORK Stephan Mercier LOC Software

  2. ANALYTICS • Analyses ads (lost, lifting) • KPI(key performance indicator) • Price sensitivity • Price optimization • Forecast • Basket level analyses • Product/category affinity • Customer segmentation • Basket size • Sales • Profit “To acquire knowledge, one must study; but to acquire wisdom, one must observe.”

  3. OBJECTIVES • Positive: • Boost traffic • Increase basket size • Raise frequency • Solidify categories • Defend against competitors • Negative: • Cherry pickers • Lost margins • Coupon queens Setting goals is the first step in turning the invisible into the visible.

  4. VEHICLES • Most profitable customers • Lack of purchase • Item purchased (buy x, get y) • Volume based • Occasion (birthday) • Seasonal events (Thanksgiving, blueberry season) • Customer group (mothers, fathers, vegetarian, employees, etc)

  5. NUTRITION AND HEALTH • Hugely popular • Make sense • Great suggestion tool • Influence purchases • Application: • Quick nutrition index on label (NUVAL) • Use mobile as dynamic and portal nutrition guide • Nutrition score on receipt

  6. ALL SQL BASED Warehouse Head quarter SQL POS Store

  7. SINGLE CORE / MULTI DEVICES Cloud S S S S Head office Back-office POS controller

  8. SINGLE CORE LOGIC C HTML5 UX Scripted engine Interfaces Drivers

  9. EMPLOYEE EMPOWERMENT • Use cases: • Mobile office • Assisted ordering • Expired stocks • Out of stocks • Shelf locations • Pros: • Bigger screen • Easy touch scrolling • Cons: • Easily stolen • Form factor slow (need handle)

  10. PHONE AS PAYMENT • Not EMV compatible • Card stored in servers • Card not present rate • Requires a reader • More complex than card • Slower than card • Google NFC failed Mostly hype!

  11. PERSONALIZED ASSISTANT • Get incentive offers • Shopping list reminder • Shared family list • Order for delivery • Product locator • Nutrition calculator • Clip coupon in aisle • Order total calculation • Price verifier • Pre-scan • Shop and walk • Line busting

  12. VIRTUAL SHOPPING

  13. WIFI DIRECT • In-store kiosks • Full screen product info • On screen map • Fully secure (no password) • Instant access • Touch on both screens • At the checkout • Live POS receipt • Live interactions • Redeem points for discount • Scroll back • Discrete information

  14. CLOUD MODELS IaaS • Examples: • Rackspace.com • Amazon Web Services • IBM Clouds • HP Clouds Infrastructure Application Data Runtime You • What you get: • Server • Pros: • Good privacy • Total flexibility • Run anything • Full portability Middleware O/S Virtualization Server Vendor Storage Network

  15. CLOUD MODELS PaaS • Examples: • Force.com • Google App engine • Microsoft Azure Platform Application You Data Runtime • What you get: • Framework • Pros: • Your own data • Cons: • No portability Middleware O/S Vendor Virtualization Server Storage Network

  16. CLOUD MODELS SaaS • Examples: • Google apps • Salesforce.com Software Application Data • What you get: • Application • Cons: • No portability • Limited flexibility • No data ownership Runtime Middleware Vendor O/S Virtualization Server Storage Network

  17. CLOUD GOOD • Availability • Collaboration • Risk reduction • Reliability • Scalability • Elasticity • Virtualization • Lower infrastructure cost

  18. CLOUD BAD • Security • Interoperability • Resource control • Latency (internet) • Platformconstraints • Application constraints • Legal issues • Lack of control • Lack of privacy

  19. RECAP S Tools Journey Technologies

  20. THANK YOU! Stephan Mercier LOC Software

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