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Smart Shopping Experience
Smart integrated retail shopping experience for the consumer with
advantage of building comprehensive consumer buying behavior and
minimizing time at checkout counter.
1
Need
Retail Consumer
•On average customer spends 15%-20% of total time in checkout queues.
•Footfall at stores like Big Bazaar over weekend is ~5000-7000, which stresses the store
infrastructure on all fronts.
•Customer spends considerable time on searching the isle and looking for assistance in the
midst of a chaos.
•Customer don't get personalized recommendation on substitutes and complementary
products for example someone’s buy toothbrush but not paste, buy shampoo but not
conditioner.
Retail Chain Owner
•Owner spends considerable money and square footage on 15-20 checkout counters and
manpower but still resulting in customer dissatisfaction
•Inventory is not digitized hence managed with a delay and involves lot of manual
intervention
Manufacturer/Supplier
•No direct and instant access to consumer choice and buying behavior resulting in a supply
demand gap in factors such as count, size, price and features 2
Target Customer
• Primary revenue earning customers are the business owning and operating multi
product retail chains/stores such as Big Bazaar, Hyper City, Lifestyle, Pantaloons, Reliance
Trends, etc. Revenue will be tapped from both digitizing the aisle bundled with cart.
• End consumer will only use the smart cart along with a mobile app, which later we will
use to target ads and offers. Initial focus would be on metro cities because of density and
addressable size.
• Data captured through consumer behavior will be sold to manufacturers and suppliers
which they can leverage to better design and target products.
3
Stores Cart per
Store
Store Count
(Metros)
Total Carts (Year 1
Projection)
Big Bazaar 150 130 19500
Reliance Trends 150 75 11250
Lifestyle 150 43 6450
Pantaloons 150 50 7500
Total 600 298 44700
• https://en.wikipedia.org/wiki/Big_Bazaar ; https://en.wikipedia.org/wiki/Reliance_Retail ;
• https://en.wikipedia.org/wiki/Lifestyle_Stores; https://en.wikipedia.org/wiki/Pantaloons_Fashion_%26_Retail;
We estimated through local
Gurgaon market survey that each
store would at least need 150
smart shopping carts and
considering only metro locations
of 4 retail chains, we see initial
market size of ~45 K carts
Value Proposition
• Digital screens placed in the store and information sent to smartphones and tablets
through dedicated retailer apps will create ‘endless aisles’ that will enable digital
experience for the customer.
• Smart cart would be built around existing metal shopping cart with a smart phone
holder, USB port, RFID reader and/or bar code scanner, a security lock on the wheels, a
chip which uniquely identifies the cart and protects the cart from being stolen.
Use case
• Customer picks up smart cart, attaches smart phone and turns on the smart shopping
application thereby accessing the shopping list created before hand.
• Customer scans the (RFID/Bar Code) product while dropping it into cart, which updates
the current inventory and the bill. RFID scanner is on cart and bar code scanner on
mobile app.
• Recommendation algorithm running on mobile app advice on substitutes, complements
and healthy supplements based on products in the cart. Customer can also view layout
of the store and category of product in an isle through info-graphics on the phone.
4
Value Proposition (Cont…)
• Customer bill is ready before they reach checkout counter, they simply pay while the
helper transfers product to a normal cart. Normal cart is kept outside store and can
be carried to parking lot.
• With faster checkout owner can reduce no of billing/checkout counters and leverage
space for shelving there by utilizing space for productive purpose.
• Smart cart will be integrated with ERP/billing system, discounts portals, manufacturer
coupons, and mobile wallets for payments. Mobile wallet will help to increase speed
of checkout.
• Store owner gets instant inventory update as all aisle content is digitized before
adding to the software cloud, which tracks inventory in real time.
• Consumer buying behavior data collected will be leveraged by manufacturers for
supply-demand matching, finer customer segmentation and product targeting.
5
Value Proposition (Cont…)
• Customer bill is ready before they reach checkout counter, they simply pay while the
helper transfers product to a normal cart. Normal cart is kept outside store and can
be carried to parking lot.
• With faster checkout owner can reduce no of billing/checkout counters and leverage
space for shelving there by utilizing space for productive purpose.
• Smart cart will be integrated with ERP/billing system, discounts portals, manufacturer
coupons, and mobile wallets for payments. Mobile wallet will help to increase speed
of checkout.
• Store owner gets instant inventory update as all aisle content is digitized before
adding to the software cloud, which tracks inventory in real time.
• Consumer buying behavior data collected will be leveraged by manufacturers for
supply-demand matching, finer customer segmentation and product targeting.
5

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IoT in Retail: Smart Shopping Experience

  • 1. Smart Shopping Experience Smart integrated retail shopping experience for the consumer with advantage of building comprehensive consumer buying behavior and minimizing time at checkout counter. 1
  • 2. Need Retail Consumer •On average customer spends 15%-20% of total time in checkout queues. •Footfall at stores like Big Bazaar over weekend is ~5000-7000, which stresses the store infrastructure on all fronts. •Customer spends considerable time on searching the isle and looking for assistance in the midst of a chaos. •Customer don't get personalized recommendation on substitutes and complementary products for example someone’s buy toothbrush but not paste, buy shampoo but not conditioner. Retail Chain Owner •Owner spends considerable money and square footage on 15-20 checkout counters and manpower but still resulting in customer dissatisfaction •Inventory is not digitized hence managed with a delay and involves lot of manual intervention Manufacturer/Supplier •No direct and instant access to consumer choice and buying behavior resulting in a supply demand gap in factors such as count, size, price and features 2
  • 3. Target Customer • Primary revenue earning customers are the business owning and operating multi product retail chains/stores such as Big Bazaar, Hyper City, Lifestyle, Pantaloons, Reliance Trends, etc. Revenue will be tapped from both digitizing the aisle bundled with cart. • End consumer will only use the smart cart along with a mobile app, which later we will use to target ads and offers. Initial focus would be on metro cities because of density and addressable size. • Data captured through consumer behavior will be sold to manufacturers and suppliers which they can leverage to better design and target products. 3 Stores Cart per Store Store Count (Metros) Total Carts (Year 1 Projection) Big Bazaar 150 130 19500 Reliance Trends 150 75 11250 Lifestyle 150 43 6450 Pantaloons 150 50 7500 Total 600 298 44700 • https://en.wikipedia.org/wiki/Big_Bazaar ; https://en.wikipedia.org/wiki/Reliance_Retail ; • https://en.wikipedia.org/wiki/Lifestyle_Stores; https://en.wikipedia.org/wiki/Pantaloons_Fashion_%26_Retail; We estimated through local Gurgaon market survey that each store would at least need 150 smart shopping carts and considering only metro locations of 4 retail chains, we see initial market size of ~45 K carts
  • 4. Value Proposition • Digital screens placed in the store and information sent to smartphones and tablets through dedicated retailer apps will create ‘endless aisles’ that will enable digital experience for the customer. • Smart cart would be built around existing metal shopping cart with a smart phone holder, USB port, RFID reader and/or bar code scanner, a security lock on the wheels, a chip which uniquely identifies the cart and protects the cart from being stolen. Use case • Customer picks up smart cart, attaches smart phone and turns on the smart shopping application thereby accessing the shopping list created before hand. • Customer scans the (RFID/Bar Code) product while dropping it into cart, which updates the current inventory and the bill. RFID scanner is on cart and bar code scanner on mobile app. • Recommendation algorithm running on mobile app advice on substitutes, complements and healthy supplements based on products in the cart. Customer can also view layout of the store and category of product in an isle through info-graphics on the phone. 4
  • 5. Value Proposition (Cont…) • Customer bill is ready before they reach checkout counter, they simply pay while the helper transfers product to a normal cart. Normal cart is kept outside store and can be carried to parking lot. • With faster checkout owner can reduce no of billing/checkout counters and leverage space for shelving there by utilizing space for productive purpose. • Smart cart will be integrated with ERP/billing system, discounts portals, manufacturer coupons, and mobile wallets for payments. Mobile wallet will help to increase speed of checkout. • Store owner gets instant inventory update as all aisle content is digitized before adding to the software cloud, which tracks inventory in real time. • Consumer buying behavior data collected will be leveraged by manufacturers for supply-demand matching, finer customer segmentation and product targeting. 5
  • 6. Value Proposition (Cont…) • Customer bill is ready before they reach checkout counter, they simply pay while the helper transfers product to a normal cart. Normal cart is kept outside store and can be carried to parking lot. • With faster checkout owner can reduce no of billing/checkout counters and leverage space for shelving there by utilizing space for productive purpose. • Smart cart will be integrated with ERP/billing system, discounts portals, manufacturer coupons, and mobile wallets for payments. Mobile wallet will help to increase speed of checkout. • Store owner gets instant inventory update as all aisle content is digitized before adding to the software cloud, which tracks inventory in real time. • Consumer buying behavior data collected will be leveraged by manufacturers for supply-demand matching, finer customer segmentation and product targeting. 5