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Artificial intelligence chatbot Report

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Artificial Intelligence & E-Commerce
•If you search for AI online, you will stumble across hundreds of articles that predi...
To create this chatbot we use Dialogflow
DIALOGFLOW
SOLUTION TO Build natural and rich conversational experiences. AKA -> ...
Step 2
Then we create agents as icecream
AGENTS
Agents ARE designed to manage a conversation flow.They can be used by your...
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Artificial intelligence chatbot Report

  1. 1. Artificial Intelligence & E-Commerce •If you search for AI online, you will stumble across hundreds of articles that predict a marketplace dominated by the use of artificial intelligence. In fact, a recent study by Business Insider suggests that as much as 85% of customer interactions will be managed without a human by as soon as 2020. •Many e-commerce businesses are already using forms of AI to better understand their customers, generate new leads and provide an enhanced customer experience. How can AI be used to enhance a customer’s shopping experience? •AI based personalisation for e-commerce takes the multi-channel approach. AI engines sit on top of the multiple customer touch points to help the business analyse how customers are interacting online. Whether it is a mobile application, the website, or an email campaign, the AI engine is continuously monitoring all devices and channels to create a universal customer view. This unified customer view enables e-commerce retailers to deliver a seamless customer experience across all platforms. The next time a customer is browsing iPhone cases on your website, they may receive a push notification on their mobile, informing them about your flash sale for iPhone cases. They directly make the purchase on their phone, saving a lot of steps for both parties. •The process of recommendation is widely practiced by e-commerce retailers to help customers find the best solution. For example, Amazon makes recommendations to users depending on their activities on the site and any past purchases. Netflix makes TV and movie recommendations based on a user’s interaction with categories e.g. drama, comedy and action. Whilst eBay hand-collects user feedback about products to recommend products to users who have exhibited similar behaviours. And this continues to evolve with several permutations and combinations in place. AI is already being put to good use in providing personalised recommendations to subscribers based on their preferences. •Many e-commerce retailers are already becoming more sophisticated with their AI capabilities in capturing attention, and one approach widely developing is known as ‘conversational commerce’. In the e-commerce world, this is the confluence of visual, vocal, written and predictive capabilities. The use of artificial intelligence through the application of ‘chatbots’ is just one way to drive the conversation in this next era of conversational commerce. Chatbotsprovide a valuable customer support solution for e-commerce retailers. •Well, some businesses are now using facial recognition to capture customer dwell times in the physical store. This means that if a customer spends a notable amount of time next to a specific product e.g. an iPod, then this information will be stored for use upon their next visit. Through AI, we will be able to recommend special offers on customer’s computer screens based on their in-store dwell time. It is as if businesses are reading the minds of customers and it’s all thanks to the data used with Artificial Intelligence.
  2. 2. To create this chatbot we use Dialogflow DIALOGFLOW SOLUTION TO Build natural and rich conversational experiences. AKA -> CHATBOT Process of DialogFlow Step 1 We login by using our google account
  3. 3. Step 2 Then we create agents as icecream AGENTS Agents ARE designed to manage a conversation flow.They can be used by your app to transform natural user requests into actionable data. Step 3 We create intents INTENTS An intent represents a mapping between what a user says and what action should be taken by your software.
  4. 4. Training phrases Add responses Training phrases
  5. 5. Add responses
  6. 6. Training phrases Add responses
  7. 7. Training phrases Add responses
  8. 8. Default feedback Step 4 Create Entities ENTITIES Entities are powerful tools used for extracting parameter values from natural language inputs
  9. 9. Step 5 We create a facebook page Step 6 Then we go this link https://developers.facebook.com/apps/554817808266816/dashboard/ Then we generate a token and copy the link
  10. 10. Step 7 Then we trn on facebook messenger and also web demo For web demo
  11. 11. Lets chat
  12. 12. For masserger
  13. 13. Then we again go this link https://developers.facebook.com/apps/554817808266816/dashboard/ and set the webhooks Go app review and publish the bot
  14. 14. FULFILLMENT Execution or accomplishment of an intent via a third party solutions (API CALL, MESSAGE, ….)
  15. 15. Let chat in masserger

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