Elaborazione degli ordini online durante le pandemie

Nodo di origine: 748597

Sommario

This code pattern explains how to build an AI-powered back end system that can take the daily essentials orders through an online mode.

Descrizione

How do we keep people from hoarding essential items during a pandemic and a lockdown? How can people get essential items through a digital mode?

Today, because of social distancing and other issues it can be risky for some people to shop for essential items in person. This code pattern helps with this issue by giving people an online option to shop for essentials.

In this code pattern, learn how to build an AI-powered back end system that can take the daily essentials orders through an online mode. The system processes the incoming text requests by converting them to formatted orders lists. Then, this system can be connected to the inventory database for optimizing supply chain management. This solution can be applied to various domains, such as ordering medicine and ordering groceries.

Dopo aver completato questo modello di codice, capisci come:

  • Preprocess textual data and extract relevant details
  • Use and train Watson Assistant for capturing details
  • Use IBM Db2® for storing the data
  • Deploy the solution on IBM Cloud
  • Enable processing orders and inventory management on a real-time basis

Flow

Online ordering during a pandemic flow

  1. Feed the data to the Watson Assistant service.
  2. Convert the text into intents and entities, and enable the conversation.
  3. Extract the order and customer details from the text.
  4. The extracted attributes get stored on Db2 Database on IBM Cloud.
  5. Visualize the order and customer details from the input text on a dashboard.

Istruzioni

Ottieni le istruzioni dettagliate in README file. These steps show you how to:

  1. Clonare il repository GitHub.
  2. Set up the Watson Assistant service.
  3. Configura IBM Db2.
  4. Aggiungi le credenziali all'applicazione.
  5. Distribuisci l'applicazione a Cloud Foundry.
  6. Analizza i risultati.

Source: https://developer.ibm.com/patterns/online-order-processing-system-during-pandemic/

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