Reflection – Learning Launches in Car Rental industry 

 Challenge 

 I work with the car rental industry and our challenge was to increase ancillary revenue through cross   selling and upselling of products across different channels . Products could range from GPS , Mobile   Wi - Fi , Insurance & Cover Packages , Satellite Radio etc , and the idea was to sell them to customers by   identifying their unspoken need at times . The project scope includes the marketing , revenue   management and IT teams as they need to come together to address this challenge . The peak   season for car rental industry is during summer when people go on vacations and hence this needed   to be addressed within the next 3 - 6 months before summer begins . 

 Selection 

 We came up with a list of assumptions to address this challenge but the order of attack needed to be   in phases as some were expensive and time consuming to test . As learning launch is a tool to quickly   test an idea and prototype , we decided to move forward with it and test the assumption first which   was easy , quick and relatively prudent . 

 Application 

 As mentioned , for our first learning launch we decided to start from a basic assumption i.e. , Cross   selling of GPS devices in the current technology era which is already being ruled by phones loaded   with Google / Apple Maps . Members from IT , Marketing and Revenue Management teams were   grouped together into small PODS and these PODS held working sessions amongst themselves to   test this assumption . The product was then developed & put into display across different channels   for a select group of locations to get insights into customer behaviour & buying patterns towards   ancillaries , within a span of 2 weeks . 

 For our second learning launch , we decided to bundle some ancillaries i.e. , GPS , Insurances , Wi - Fi   and offer it to the customer as a package deal . Yet another POD was tasked to brainstorm and test   this assumption , which was again showcased to customers within a couple of weeks . 

 In this fashion , every POD was able to consecutively test an assumption using the learning launch   tool and decide quickly on whether to pivot or trash the idea thereby enabling traction . 

 Insight 

 Using this learning launch tool , POD ’s were able to identify different assumptions and developed   products to test them out individually . This enabled to arrive quickly at the decision of whether to   pivot or trash the assumption . Based on survey feedback received from customers with every   assumption , we were able to improvise and make appropriate changes to the next one . This way , we   were able to learn quickly in the event of a fast failure . Eventually during the complete rollout , we   were able to outline and offer only revenue generating options to the customer thereby improving   satisfaction and net promotor scores . 

 Approach 

 We felt that learning launch approach worked best for us as we were to see some early tangible   quick wins . Every launch was a learning and helped us improvise on the next one by incorporating   the feedback . Also having the cross functional folks in PODS , helped us to take quick decisions across   teams which otherwise would have been a blocker . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection – Learning Launches in Car Rental industry 

 Challenge 

 I work with the car rental industry and our challenge was to increase ancillary revenue through cross   selling and upselling of products across different channels . Products could range from GPS , Mobile   Wi - Fi , Insurance & Cover Packages , Satellite Radio etc , and the idea was to sell them to customers by   identifying their unspoken need at times . The project scope includes the marketing , revenue   management and IT teams as they need to come together to address this challenge . The peak   season for car rental industry is during summer when people go on vacations and hence this needed   to be addressed within the next 3 - 6 months before summer begins . 

 Selection 

 We came up with a list of assumptions to address this challenge but the order of attack needed to be   in phases as some were expensive and time consuming to test . As learning launch is a tool to quickly   test an idea and prototype , we decided to move forward with it and test the assumption first which   was easy , quick and relatively prudent . 

 Application 

 As mentioned , for our first learning launch we decided to start from a basic assumption i.e. , Cross   selling of GPS devices in the current technology era which is already being ruled by phones loaded   with Google / Apple Maps . Members from IT , Marketing and Revenue Management teams were   grouped together into small PODS and these PODS held working sessions amongst themselves to   test this assumption . The product was then developed & put into display across different channels   for a select group of locations to get insights into customer behaviour & buying patterns towards   ancillaries , within a span of 2 weeks . 

 For our second learning launch , we decided to bundle some ancillaries i.e. , GPS , Insurances , Wi - Fi   and offer it to the customer as a package deal . Yet another POD was tasked to brainstorm and test   this assumption , which was again showcased to customers within a couple of weeks . 

 In this fashion , every POD was able to consecutively test an assumption using the learning launch   tool and decide quickly on whether to pivot or trash the idea thereby enabling traction . 

 Insight 

 Using this learning launch tool , POD ’s were able to identify different assumptions and developed   products to test them out individually . This enabled to arrive quickly at the decision of whether to   pivot or trash the assumption . Based on survey feedback received from customers with every   assumption , we were able to improvise and make appropriate changes to the next one . This way , we   were able to learn quickly in the event of a fast failure . Eventually during the complete rollout , we   were able to outline and offer only revenue generating options to the customer thereby improving   satisfaction and net promotor scores . 

 Approach 

 We felt that learning launch approach worked best for us as we were to see some early tangible   quick wins . Every launch was a learning and helped us improvise on the next one by incorporating   the feedback . Also having the cross functional folks in PODS , helped us to take quick decisions across   teams which otherwise would have been a blocker .
### Output: 