Support team interface by Pradyumna
Use case id: 9-GP-SupportTeam
Title: Support team interface by Pradyumna
Pradyumna from GPC
Presenter: Matthew Velazquez
Abiding by the 80-20 rule, 80% of the time any support person answers the same questions. So to help them, we need to have a Chatbot that works hand in hand with the support person.
Build a web interface for the customer and for the support team. Customer interface is a simple chat interface (Just concentrate on the text ability) which interacts with the Support team
Support team interface
shall have the chat interface backed by AI. shall have a page to enter common FAQs and answers to them On the chat interface, if in need, AI should automatically ask for contact details to contact them later.
User: What do you do? Chatbot: We are a consulting firm, we have top-tier experts in marketing, finance, law and technology to make your token offering a success.
User: What does your company do? Chatbot: We are a consulting firm, we have top-tier experts in marketing, finance, law and technology to make your token offering a success. What services are you looking for?
User: What services do you provide? Chatbot: We are a consulting firm, we have top-tier experts in marketing, finance, law and technology to make your token offering a success. What services are you looking for?
User: Can you send me more details? Chatbot: Sure, may I get your phone or email? (follow-up question) User: You can contact me at 9999999999 Chabot: Sure, have a nice day.
Note 👍 Additional points for innovation
Please create an issue on Github with usecase-id
Use Cases
-
1-HR-SleepPatternAnalysis: Sleep Pattern Analysis
-
2-HR-RequestLogAnalysis: Request Log Analysis
-
3-HR-DealsWebsite: Deals Website
-
4-HR-CommunityConnect: CommunityConnect
-
5-VI-TradeIn: TradeIn
-
6-IB-UpdateClusterTool: Cluster Update Tool
-
7-HO-AdministratorReport: Administrator Report
-
8-SE-MultiPost: MultiPost
-
9-DS-OpoidOverdose: Opoid Overdose
-
10-YO-GuardianAlngel: Guardian Alngel
-
11-YO-Gun&KnifeDetector: Gun and Knife Detector
-
12-UM-SmartGardenML: Smart Garden using Machine Learning
-
13-UM-SmartGardenAR: Smart Garden using Augmented Reality
-
14-UM-SmartGardenMITScratch: Smart Garden using MIT Scratch
-
15-UM-ChatBot: Group the related TED talks
-
16-UM-BitCoinPrediction: BitCoin Predication
-
17-UM-RedditHotTopics: BitCoin Predication
Winners
Mehta Avni,avnimehta@mail.umkc.edu
Muppala Trinadha,trm35c@mail.umkc.edu
Thomson Erich emt9q7@mail.umkc.edu
Charles, Paul pscy9f@mail.umkc.edu
Sayed Khushal Shah, ssqn7@mail.umkc.edu
Sidrah Junaid, sjhv6@mail.umkc.edu
Zeenat Tariq, zt2gc@mail.umkc.edu
Syed Jawad Shah, shs6g7@mail.umkc.edu
Shalin, sjprtm@mail.umkc.edu
Khushbu Kolhe, kkvcm@gmail.com
Geo, gwrn2@mail.umkc.edu
Ruthvic rpmgz@mail.umkc.edu
sneha smccr@mail.umkc.edu
swati ss3m6@mail.umkc.edu
cameron cjlth5@mail.umkc.edu