Systems & Methods to reduce wait time in the service sector and just in time demand management

• US 20080319935A1
• Filed: 06/23/2007
• Published: 12/25/2008
• Est. Priority Date: 06/23/2007
• Status: Abandoned Application

• Current Assignee: Sanjeev Chandak
• Original Assignee: Sanjeev Chandak
• Inventors: Chandak, Sanjeev
• Application Number:
  US11/767,477
• Publication Number:
  US 20080319935A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0236 Incentive or reward received by requiring registration or ID from user

Abstract

Systems and Methods are provided to actively manage waiting time in the service sector where there is volatility in determining when exactly the service will be performed. In the service sector where buyers are waiting for service (for example Physician'"'"'s Office, Hospital, Automobile Repair Shops, Restaurants, DMV offices, etc.), this method can be used to control the flow of customers so that they do not have to spend time in the waiting room for the next available service professional. The demand can be actively managed for just in time customer arrival to increase efficiency and satisfaction. This system can be monetized by providing “moment of truth” advertising at the point of service via the same mechanism used to communicate the waiting time or a different medium (including but not limited to mobile phone, PDA, internet, websites, email, phone call, SMS, etc.)

Claims

1. A method to predict waiting time for customers/buyers in the service sector where there is volatility in determining the exact time of service. This method would look at past data of the service professional, information about the customers already waiting and ahead in queue to determine the most likely wait time for the customer. This time could either be an exact time or a small window wherein the service is most likely to be rendered. The method involves self learning (using neural networks, statistical modeling, etc.) based on prior history

2. The method of claim 1 wherein the customer already has a scheduled appointment time

3. The method of claim 1 wherein the service professional is a doctor or a physician or a health care provider

4. The method of claim 1 wherein the service provider is a hospital, emergency room, outpatient services, or a laboratory

5. The method of claim 1 wherein the service professional is in Automobile Repair Shops, Restaurants, or any other profession where customers have to wait in line for the service to be performed

6. A system to extract the relevant information from existing systems of the service professional (for example doctor scheduling systems). Use this data to predict the wait time as detailed in claim 1 and then delivering it to the customer via different mechanisms including mobile phone, PDA, internet, websites, email, phone call, SMS, etc. It utilizes intelligent reporting based on specific customer needs. Incorporates different customer attributes example departing address, traffic patterns at the time of the day, etc. to inform customer when he/she should leave the departing address in order to arrive on time at the service location. Offers real time information updates to the customer on when the service is most likely to be performed

7. The system of claim 6 wherein the customer already has a scheduled appointment time

8. The system of claim 6 wherein the service professional is a doctor or a physician or a health care provider

9. The system of claim 6 wherein the service provider is a hospital, emergency room, outpatient services, or a laboratory

10. The system of claim 6 wherein the service professional is in Automobile Repair Shops, Restaurants, or any other profession where customers have to wait in line for the service to be performed

11. The method of delivering targeted advertising at the time the service has/will be performed so as to deliver maximum value to the consumer &

advertiser. The advertisement content would be determined by analyzing the specific situation of the buyer including type of service request, location, demographical information, and other information that is available. This advertisement can be delivered via multiple mechanisms (including but not limited to mobile phone, PDA, internet, websites, email, phone call, SMS, &

mail). The advertisement could involve the use of coupons or offer numbers that can be redeemed at retailers.

12. The method of claim 11 wherein the customer already has a scheduled appointment time

13. The method of claim 11 wherein the service professional is a doctor or a physician or a health care provider

14. The method of claim 11 wherein the service provider is a hospital, emergency room, outpatient services, or a laboratory

15. The method of claim 11 wherein the service professional is in Automobile Repair Shops, Restaurants, or any other profession where customers have to wait in line for the service to be performed