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Willogy Case Studies


Enhancing Customer Experience with AI

Background

Current Limitations of Retail Industry

  • Limited information about customers & their in-store behaviour.80% of visitors walk out without a purchase
  • Decisions based on intuition rather than real data
  • Store analytics is done manually → low scalability & high costs
  • Lost potential revenue due to shrinkage, stock-outs, etc.

Solution

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At Willogy, we help our clients

  • Use Face Analytics to collect data on customers (Age, Gender, Loyalty)
  • Collect data about behaviour of visitors (Heatmaps, Shelf Analytics, Time)
  • Identify operational bottlenecks (Queue Length Alerts, Congestion, Identify Stock out, Cleanliness)
  • Prevent Shrinkage:

    • Suspicious Behaviour and Face Recognition for burglars
    • Identify Staff related shrinkage
    • Identify unusual/anomalous activity to enhance loss Prevention efforts
  • Security and Safety Related Features; Ensure that the store is safe for customers

Our applications of Video Analytics (VA) in improving Customer Experience (CX)

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In general, our Video Analytics with Computer Vision offers enhancements by providing:

  • Unique Identity Recognition - integrated to loyalty program
  • Age/Gender/Ethnicity clustering. Detect age groups, including children, seniors.
  • Shopping behaviour tracking: Groups, couples, individuals.
  • Traffic patterns. Identify path to purchase, hot zones, cold zones, dwell points.→ Help retailers make decisions on item placement or promotions
  • Integrate to app-based recommendation logic. → Ability to launch targeted promotions based on proximity, past purchase, consumer profile.

Usecase 1: An example of People Counting with VA solution in helping decision making and enhancing customer experience

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Usecase 2: Heatmap and footprint

This technology can help us answer the following questions

  • Where is the most crowded ROIs (Region of Interests) in a specific monitoring area?
  • What are the trending routes of the customers?

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The insight analytics would help a business better understand their customers and decide proper decision making.

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Usecase 3: Security-based Video Analytics

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Using existing cameras, a retailer can install highly effective Computer Vision algorithms to

  • Detect shopper traffic patterns
  • Prevent loss

In the US, Loss Prevention (LP) is a $48B problem impacting all retailers. At the same time, investment in LP staff is flat of shrinking. While average cost of shoplifting incident is doubling to $798, 30% of inventory shrinkage is an inside job.

→ With the strong foundation of Video Analytics and Computer Vision, our Willogy mission is to help any businesses to identify theft, shrinkage, and shoplifting incidents.

Why us?

Our strengths

  • Able to adapt with existing infrastructure and CCTVs.
  • Fully setup with hardware & software solutions.
  • Best in-class accuracy and competitive pricing.
  • Integrations like POS system to generate more insights.
  • Data Protection compliant (GDPR).

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Example of our Analysis & Visualization Platform

Benefits we bring to our clients

  • Take better marketing decisions and measure marketing impact
  • Optimise usage, product selection and stock levels
  • Increase operational efficiency by identifying bottlenecks
  • Realise lost potential revenue and reduce shrinkage
  • Convert non-buyers into buyers

Quang Tran

Written by Quang Tran

WILLOGY CO., LTD