Challenge 

 My challenge is to improve the customer experience that people have when they patronize our food   business ( partnership that I run with a group of friends ) . Before the COVID-19 outbreak , we had a   physical Kitchen where customers could walk in , choose from a list of options from the menu and the   food is cooked in a short while . Meals range from local meals to continental . The Kitchen is different   from other restaurants , in that , food is made according to each customer ’s specification . Sales have   been very slow since the pandemic began , primarily because of the restrictions , hence we want   customers to sit in the comfort of their homes / offices , and choose specific ingredients they want in their   soups / meals and get it delivered in an hour . The goal is to deliver an end - to - end amazing customer   experience . 

 Selection 

 The team has decided to use the Learning launch tool since this is meant to quickly test the idea to a   selected group of customers . 

 Application 

 For our learning launch , we focused on the execution of the online orders , particularly , we wanted to   see if we could deliver online orders swiftly and within the specified time frame ( our proposed time was   one hour ) . This , we believe will help us overcome hurdles of restrictions due to the pandemic and we   could win as many customers as possible with the new online kitchen . An app was developed   for this   purpose in addition to the dedicated social media platforms(with swift response team ) . For the learning   launch , we used the social media platforms : A customer reaches out to us via Instagram / whatsapp and   receives a response in 3 - 5 seconds . Upon customer ’s readiness , a menu list is sent , that allows the   him / her to choose the exact delicacy , alongside what they would like to be included ( such as types of   meat , vegetable , toppings etc . ) . The customer sends delivery details , confirmation email is sent , and the   customer receives the meal in an hour . 

 A dedicated logistics company was also saddled with the task of ensuring that orders were delivered   within specified timeframe . This was conducted within a month . 

 Insight 

 Our key takeaways from this exercise was that- a lot of customers value comfort and would be more   inclined to a brand / vendor that provides such . We also gathered more data for a valuable customer   experience such as : types of meals customers ordered more frequently , locations where orders were   frequently delivered and the demography of customers among others .   We also learnt that we could   further automate the processes as some customers still found it stressful to type delivery details and   dish option . How about creating a platform where people could just register and their info is saved ,   which is used recurrently , except the customer wishes to change address ? 

 Approach 

 Having used the learning launch tool , we are now ready to fully launch our app and go fully online . We   have realized that people want to get orders delivered to them , get their meals by just tapping their   phones and not necessarily going into a physical restaurant . COVID-19 outbreak has changed a lot of   things and people have become more digitally inclined . 


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: Challenge 

 My challenge is to improve the customer experience that people have when they patronize our food   business ( partnership that I run with a group of friends ) . Before the COVID-19 outbreak , we had a   physical Kitchen where customers could walk in , choose from a list of options from the menu and the   food is cooked in a short while . Meals range from local meals to continental . The Kitchen is different   from other restaurants , in that , food is made according to each customer ’s specification . Sales have   been very slow since the pandemic began , primarily because of the restrictions , hence we want   customers to sit in the comfort of their homes / offices , and choose specific ingredients they want in their   soups / meals and get it delivered in an hour . The goal is to deliver an end - to - end amazing customer   experience . 

 Selection 

 The team has decided to use the Learning launch tool since this is meant to quickly test the idea to a   selected group of customers . 

 Application 

 For our learning launch , we focused on the execution of the online orders , particularly , we wanted to   see if we could deliver online orders swiftly and within the specified time frame ( our proposed time was   one hour ) . This , we believe will help us overcome hurdles of restrictions due to the pandemic and we   could win as many customers as possible with the new online kitchen . An app was developed   for this   purpose in addition to the dedicated social media platforms(with swift response team ) . For the learning   launch , we used the social media platforms : A customer reaches out to us via Instagram / whatsapp and   receives a response in 3 - 5 seconds . Upon customer ’s readiness , a menu list is sent , that allows the   him / her to choose the exact delicacy , alongside what they would like to be included ( such as types of   meat , vegetable , toppings etc . ) . The customer sends delivery details , confirmation email is sent , and the   customer receives the meal in an hour . 

 A dedicated logistics company was also saddled with the task of ensuring that orders were delivered   within specified timeframe . This was conducted within a month . 

 Insight 

 Our key takeaways from this exercise was that- a lot of customers value comfort and would be more   inclined to a brand / vendor that provides such . We also gathered more data for a valuable customer   experience such as : types of meals customers ordered more frequently , locations where orders were   frequently delivered and the demography of customers among others .   We also learnt that we could   further automate the processes as some customers still found it stressful to type delivery details and   dish option . How about creating a platform where people could just register and their info is saved ,   which is used recurrently , except the customer wishes to change address ? 

 Approach 

 Having used the learning launch tool , we are now ready to fully launch our app and go fully online . We   have realized that people want to get orders delivered to them , get their meals by just tapping their   phones and not necessarily going into a physical restaurant . COVID-19 outbreak has changed a lot of   things and people have become more digitally inclined .
### Output: 