Authors:
Guek Wu Neo
Abstract:
This Disclosure proposes providing a shopping route that will secure buying of items in the User's shopping list according to the User's preferred list of priorities. Routes that ensure that the User achieves the maximum # of items out from their shopping lists according to defined priority levels.
Background:
There are currently a number of Retail Apps that can provide a route through a store to pick up items that are on your shopping list. The problem is that the App will route you to where the item is supposed to be and generally will generate the shortest route to pick up all the items on the list. Often some items on the shopper's list are high demand items and and when you get to the location in the store you find your preferred brand or size is not available. What is needed is a way to increase the probability that the shopper will either get exactly what they want or at least the closest alternative.
Description:
The concept is to provide more detailed attention on a User’s level of preference or acceptance for a particular product on their shopping list so that it is taken into consideration in providing the User the optimum route that will help them get to the location for the product quickly enough to be able to procure higher demand items that may be on their list. With such, User gets to place into their shopping cart as many items as possible and of the highest level of preference although all items may not be of their first choice but are of high enough preference that they can accept to buy.
This disclosure helps to provide the shopping route that will assist in buying items in the User's shopping list according to the user preferred level of secured buy(preference level).
Routes that ensure Users achieve the maximum # of items out from their shopping lists according to their preferred level of secured buy.
By default shopping route advisor will plan the route that will match the precise content and exact volume.
User states the exact item they want to buy with the preferred level of secure buy.
Level of secured buy:
- A:Fulfil content and volume exact : sugar 1kg xx brand X
- B:Fulfil content and volume exact mix: sugar 500g+500g xx brand XX
- C:Fulfil content and volume min: sugar 100g xx brand x-
- D:Fulfil content and volume max : sugar 1kg yy Y
- E:Fulfil content and volume exact max mix : sugar 500g yy +500g Y X
- F:Fulfil content and volume least: sugar 100g yy brand y
Below is the description of list of priority
- 1.Name of item req. White sugar
- 2.Brand req. ICI brand
- 3.Size req. 1kg
- 4. Qty req 2 package
Route advisor will know which item has lower stock among all the listed items that User would like to purchase and which items have plenty of stock.
Examples:
Level of secured =A
Prioritize to route:
1. items that matches 1 to 4 , that of lower stock route first for User to pick up
Level of secured =B
Prioritize to route:
1. items that match 1 to 2, that of lower stock first for User to pick up
2. if list of priority 1-3 match but not full of priority 4, choose the route that will get to fulfill 1-3. Example if there is plenty of 200 recalculate the next item of the stock status upon picking up the priotized item.
Online could provide the same planning as well. The shopping website or shopping app could prompt the users of the items that are at risk of missing out on to first to secure the item first. Such as when you login, items are identified red are at risk of losing the secure/running low for ‘A’ level of secured buy, yellow for ‘B’ level of secured buy, orange for ‘C’ level of secured buy etc…
Claims:
To provide more detailed attention on User’s level of preferred or acceptance so that it is taken into consideration to provide User the optimum route that will help them get to the location earlier than other shoppers. With such, User gets to procure as many items as possible and of their most preferred level of secured buy although they may not be their first choice but are of high enough preference that they can accept to buy.
TGCS Reference 4635
