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Insights and Hidden
   Opportunities
       Suresh
Opportunities
• Crowded aisles – too many items
• Checkout counters – hot and cold
• Two types of customers
  – Customers who know what they want
  – “Window Shopping” – Impulse buyers
Crowded aisles
Observations:
  – True for downtown stores since space is a premium
  – Too many brand names of the same product
  – Too many quantities of the same item


Solution: Use technology (RF ID or bar code) to
stock as needed and limit quantities on the shelves.
Leads to less number of shelves and feels more
spacious. “Just in Time” stocking of shelves.
Checkout counters – hot and cold
Observations:
  – At times too many people in line – not enough
    checkout counters
  – At other times too many checkout counters


Solution: Use sensors to feedback real time data on
how many people have entered the “checkout
area”. This should automatically trigger potential
cashiers to show up at the checkout counters
Catering to different types of
               customers
Observations:
Two types of customers
  – People who know what they want
  – People are browsing to figure out what to buy

Solution: Ability to order exact items customer
needs and fill that order at the checkout
counter. Like a take-out “dinner” order at a
grocery store.

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Opportunities

  • 1. Insights and Hidden Opportunities Suresh
  • 2. Opportunities • Crowded aisles – too many items • Checkout counters – hot and cold • Two types of customers – Customers who know what they want – “Window Shopping” – Impulse buyers
  • 3. Crowded aisles Observations: – True for downtown stores since space is a premium – Too many brand names of the same product – Too many quantities of the same item Solution: Use technology (RF ID or bar code) to stock as needed and limit quantities on the shelves. Leads to less number of shelves and feels more spacious. “Just in Time” stocking of shelves.
  • 4. Checkout counters – hot and cold Observations: – At times too many people in line – not enough checkout counters – At other times too many checkout counters Solution: Use sensors to feedback real time data on how many people have entered the “checkout area”. This should automatically trigger potential cashiers to show up at the checkout counters
  • 5. Catering to different types of customers Observations: Two types of customers – People who know what they want – People are browsing to figure out what to buy Solution: Ability to order exact items customer needs and fill that order at the checkout counter. Like a take-out “dinner” order at a grocery store.