AI for e-commerce — All demo methods

Get Company Details

Conversational Shopping

Extract specific details about a company from unstructured text

Request

Clear
Choose one of the pre-populated samples:
US company
EU
India
China
Japan
Choose the link to populate text area with the pre-defined sample

Result

Clear

Get Contact Person Details

Conversational Shopping

Extract specific details about a contact person from unstructured text

Request

Clear
Choose one of the pre-populated samples:
Sample text
Choose the link to populate text area with the pre-defined sample

Result

Clear

Convert User Message to Order

Conversational Shopping

Extract order details from unstructured text (user request or message).

Request

Clear
Choose one of the pre-populated samples:
Order #1
Order #2
Choose the link to populate text area with the pre-defined sample

Result

Clear

Product Brand Info

Product Information Management

Extract and retrieve brand details from a product line

Request

Clear
Choose one of the pre-populated samples:
#1 Tablet
#2 Smart TV
#3 Mobile Phone
#4 Electric Kettle
#5 Vacuum Cleaner
Choose the link to populate text area with the pre-defined sample

Result

Clear

Product specification rigorous parsing

Document Parsing

Parse a specification PDF of a pre-defined (expected) structure. (Coffee product examples.) Obtain a strictly pre-defined list of its attributes extracted

Request

Clear
Select a file to upload or paste a link:
Choose one of the pre-populated samples:
#1 Product spec
#2 Product spec
#3 Product spec
Browse a file to process or use the sample links to populate with pre-defined samples

Result

Clear

Get product attributes and assign to a category - parse specification

Product Information Management
Document Parsing

Parse a product specification, extract a generic set of its attributes, and assign a best-fit category from a given (Amazon) product hierarchy

Request

Clear
Categories:
  • Coffee
  • Electronics
  • Computers
Select a file to upload or paste a link:
Choose one of the pre-populated samples:
#1 Coffee spec
#2 Monitor spec
Browse a file to process or use the sample links to populate with pre-defined samples

Result

Clear

Get product attributes and assign to a category - analyze text-content

Product Information Management

Parse an unstructured product listing, extract a generic set of its attributes, and assign a best-fit category from a given (Amazon) product hierarchy

Request

Clear
Categories:
  • Coffee
  • Electronics
  • Computers
Choose one of the pre-populated samples:
#1 Monitor specficiation
#2 Car Air Compressor specficiation
Enter text or use the sample links to populate with pre-defined samples

Result

Clear

Top negative-positive product customer reviews

Product Information Management

Top positive and negative product characteristics based on Amazon customer reviews

Request

Clear
Choose one of the pre-populated samples:
#1 Lavazza coffee reviews
#2 Apple Ipad reviews
#3 Samsung tablet reviews
Enter the text to process or use the sample links to populate with pre-defined samples

Result

Clear

Categorize product customer reviews

Product Information Management

Positive and negative characteristics from Amazon product customer reviews classified by categories: product, price, delivery, seller.

Request

Clear
Choose one of the pre-populated samples:
#1 Lavazza coffee reviews
#2 Apple Ipad reviews
#3 Samsung tablet reviews
Enter the text to process or use the sample links below to populate with pre-defined samples

Result

Clear

Identify User Intent

Conversational Shopping

Understand what people are trying to accomplish when messaging you

Request

Clear
Choose one of the pre-populated samples:
#1 Feedback
#2 Purchase intent
#3 Product details request
#4 Request for quote
Enter text or use the sample links to populate with pre-defined samples

Result

Clear

Classify arbitrary user-uploaded document

Document Parsing

Parse content and get a type of an arbitrary user-uploaded document.

Request

Clear
Select a file to upload or paste a link:
Choose one of the pre-populated samples:
#1 Airway bill
#2 Monitor specification
Browse a file to process or use the sample links below to populate with pre-defined samples

Result

Clear

Extract product attributes from its title

Product Information Management

Extract all product details from a long title

Request

Clear
Choose one of the pre-populated samples:
#1 Tablet
#2 Laptop
#3 Smart TV
#4 Mobile Phone
#5 Electric Kettle
#6 Vacuum Cleaner
Choose the link to populate text area with the pre-defined sample

Result

Clear

Optimized product description based on keywords and customer review analytics

Product Information Management

Generate an optimized product description based on its category, details, required keywords, and analysis of your competition's customer reviews.

Request

Clear
Choose one of the pre-populated samples:
#1 Samsung tablet
#2 Lavazza Coffee
#3 Apple IPad
Enter the text to process or use the sample links below to populate with pre-defined samples

Result

Clear

Generate product review

Product Information Management

Generate product review

Request

Clear
Choose one of the pre-populated samples:
Product
Enter product description

Result

Clear