Gyrominois the first
supermarket devoted to the use of robot technology.
It is a long-term project and experiment to
install robot technology - from the back-end
to the front cashes. Customers will make their order
online, products will be assembled in the warehouse
by robots, and will be finalized and ready for
pick-up in-store or sent to the customer's residence
by self-driving cars. It is an attempt to
merge and unify a customer -friendly
front-end zone with a back-end
fulfillment centre.
Concept
In the good old days
- the 1970s,
there was a company called
Consumers Distributing, once owned by
Provigo in the 1990s, that was a catalogue-
based distribution centre. This same model
can now be updated to mobile phones and
touch screen technology.
As consumers get
younger and an increasing number no longer
shop in stores but rather instead shop
online, we must bring the store to them
--- "push retail instead of pull retail.".
We can no longer pull them in, we must push
our products to the consumer. A combination
of online ordering and fast delivery system
must be explored.
Click and go and
delivery is promising. But the scale
required is expensive and time-consuming.
50/50
We can use the
50/50 idea in two ways: shoppers 50 and over
will continue to shop in stores. Those under
50 will increasingly shop online. There is
also the oncoming reality that only 50% of
sales will be physical transactions and 50%
will be online transactions. We must adapt
to this new reality. Eventually, we may see
one day the 25/75 reality, and will have to
adjust accordingly.
Under this
proposal, only four to six massive
stores/warehouses/fulfillment centres will
be built in each city across the country.
The stores will be located in the four
quadrants of a city, for complete physical
coverage of a city allowing fast, efficient
delivery. The company that wins the delivery
wars will win the battle.
As new fulfillment
centres are being built, older,
under-performing stores can be closed. Costs
will be reduced - transportations,
buildings, payroll, inventory, making the
venture profitable and promising.
We will serve more
customers with fewer people. This will lead
to increased efficiency and
profitability. Under this plan, 25% of
stores can be closed, with the underlying
reduction in costs.
Front End
Customers will
enter the store, go to the order desk, pick
out their dry goods selections, then go
through the fresh food departments, and when
this is finished, their order will be ready
for pick-up at the reception desk. This will
save them time and their entire order will
be 100% completed. Nothing missing.
Because fewer items
are on the floor, along with new
warehouse/robot technology, we will stock
more items in less space, with faster order
processing and delivery times.
Back End
In the back-end of the
centre will be located the brains of the
enterprise. powered by
RadicalThink:
Robot
The
Assisted
&
Historical
Delivery &
Information
Identyfying
Needed for
Customer
Knowledge
Analysis
List
(Robot AssistedDelivery & Identifying
Customer Analysis List &
The Historical Intelligence
Needed for Knowledge) a procedure
combining artificial intelligence and robot
technology.
Since a large
percentage of shoppers will shop by mobile, they
will not even enter a physical store. This is an
attempt to predict their future shopping needs.
fulfilling the order, and delivering the order
at the customer's desired time period.
Customers who enter the
store can select their fresh products, but as
for dry goods, only a small selection of
products will be visible. Rather, customers will
select their items on touchscreens located on
the counter, or through their phones. As they
make their selections, the order will be
transmitted to back-end robots who will assemble
the order, and after a short waiting period, the
assembled order will appear on he counter. The
customer can take home immediately or request
delivery by electric vans.
Under this plan the
real challenge will be to predict future
shopping needs. We offer points and deals to
shoppers based on past shopping history. The
objective in the future should be to try and
predict future shopping needs. Based on prior
history, we must offer the shopper new items,
new recipes, and new items to try. Things they
might never think of. In store, we will have
concierges/chefs offering suggestions and ideas
to shoppers. Online, we must provide the same
options. When the customer adds an item to his
basket, there must be a corresponding
suggestion.
As the customer walks
through the store, sensors and signals must send
information to their phone, providing the same
information. The key is more information, and
the more data we can acquire on each customer,
the better we can tailor these suggestions to
the customer. We should try to know what the
customer wants before the customer knows it.
Property of Andre B.
Beauregard.
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