A Method for Intelligently Recommending Nearby Product/Service Based on Paper Receipt in Real World
Publication Date: 2014-Nov-05
The IP.com Prior Art Database
Although emerging e-commerce is changing people’s consumption patterns, traditional offline consumption is still irreplaceable due to its experience. Hence, consumer activities are divided into two categories, online and offline. The popularity of smart mobile device gives the possibility to integrate online and offline consumption. Consider about a regular offline consumption process, after a customer gains a product/service, a paper receipt will return back. A paper receipt usually includes following information: 1. Retailer’s basic information(name, address, phone) 2. Transaction time 3. Product/Service list (name,unit price,quantity, total price) 4. Total price 5. Accurate location Customer always throws out the paper receipt when transaction is finished. Consumption information is hardly to reuse because it’s non-electronic. But the consumption information records customer real consuming behavior. If the information can be stored and analyzed, it will bring more business value for both customer and retailer.
This invention provide a method for intelligently recommending nearby Product/Service Based on Paper Receipt.With this method, consumption information printed on paper receipt can be read and stored.According to latest and historical consumption information, current customer consumption scenario can be determined intelligently. Finally, real-time product/service that customer is likely to buy will be recommend. Following are main points of this invention. 1. Provide a data read-in interface to read consumption information on paper receipt into a device. Personal consumption information can be stored permanently; 2. Intelligently decide customer consumption scenario based on latest consumption information, personal basic information, historical consumption information and location; 3. Intelligently recommend nearby product/service to customer based on consumption scenario and location. It will bring great benefit to both customer and retailer through this invention. Customer can get their desired product/service conveniently and quickly. Retailer can utilize this channel in which it has so many target customers to promote their product/service.
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A Method for Intelligently Recommending Nearby Product
A Method for Intelligently Recommending Nearby Product/
//Service Based on Paper Receipt in Real World Service Based on Paper Receipt in Real World
.. How it works and How it could be implemented How it works and How it could be implemented
This method is made up by hardware part and software part.
1.1 Hardware part
Hardware part includes three main modules
.They are information collecting component, data storage component and display component .
1. Information collecting component
This component is used to read consumption information on paper receipt.
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An efficient way is to encode consumption information as QR code. The device can scan QR code and read consumption information. This needs to change POS machine a little to print the QR code on paper receipt too. Of course, it's doable.
Sample consumption information includes following fields.
retailer's phone number
5 Total Amount
total money for this transaction
7 Total QTY
total quantity for this transaction
111 Basic Fields Basic Fields
1 Item Name
2 Unit Price
unit price of a product/ server
total money for this item
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2. Data storage component：
This component is used to store consumption data.
3. Display component：
1.2 A screen used to display information.
Following picture clearly shows how software part works and interacts with customer in a regular consumption scenario.
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1.2.1 Latest Consumption Info Read
Latest Consumption Info Read-
When a customer gets a paper receipt, the customer can read consumption info on this paper receipt into device and store it. As mentioned above, classic consumption info includes transaction basic info, product/service list.
Because the information is stored permanently, customer can review it anytime later.
1.2.2 Scenario Decision
This device can decide consumption scenario intelligently based on below information:
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1. Customer Basic Info
Such as sex, age, industry background and so on. Customer's behavior is always consistent with his/her situation
2. Historical Consumption Info
Learn about customer's consumption preferences.
Consider about the activities people always like to do at a given place. Different product/service can be provided in
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4. Latest Consumption Info
This is the real-time and valuable information for deciding the consumption scenario. It's part of the scenario.
Based on above information, a consumption scenario list sorted by matching degree can be generated. It's easy for customer to select the right one from scenario...