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PUTTING TECHNOLOGY TO WORK

Discover how technology can transform retail operations through advanced analytics and customer empowerment. This guide outlines key strategies for optimizing pricing, improving customer segmentation, and enhancing shopping experiences. With tools for real-time analytics, personalized offers, and effective inventory management, businesses can increase basket sizes and customer loyalty. Learn about the benefits and challenges of cloud models, including IaaS, PaaS, and SaaS, to find the right fit for your retail needs.

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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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