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SUMMARY OF THE INVENTION
• The objective of the mentioned invention is to enable
consumers to get additional discounts while purchasing
products from the online merchant websites by providing
them better information to take better decisions to adjust the
features of the orders. The invention service comprises of
three main components: 1. Comprehensive Information
Generator, 2. Data Personalizer, 3. Policy and Price Optimizer.
• ‘Comprehensive Information Generator (CIG)’ uses the
consumer profile including buying history and preferences,
machine learning techniques for product recognition and data
available over the internet to generate comprehensive and
relevant information about the product.
• ‘Data Personalizer (DP)’ uses consumer’s profile, 2d picture
and product promotion data curated by CIG to generate
personalized data and demo content in the form of augmented
video and images using deep machine learning techniques.
• ‘Policy and Price Optimizer (PPO)’ uses product purchase
requirements, consumer’s profile, seller’s profile and selling
policy along with other ‘product delivery’ related information
to create an optimized deal which offers the same product at
lower price to the consumer.
Fig 5
Fig 6
Product Info Product Info Product Info Product Info Product Info Product Info Product InfoProduct Info Product Info
Fig 7
Fig 8
Fig 9
Fig 10

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Provisional patent application summary

  • 1. SUMMARY OF THE INVENTION • The objective of the mentioned invention is to enable consumers to get additional discounts while purchasing products from the online merchant websites by providing them better information to take better decisions to adjust the features of the orders. The invention service comprises of three main components: 1. Comprehensive Information Generator, 2. Data Personalizer, 3. Policy and Price Optimizer. • ‘Comprehensive Information Generator (CIG)’ uses the consumer profile including buying history and preferences, machine learning techniques for product recognition and data available over the internet to generate comprehensive and relevant information about the product. • ‘Data Personalizer (DP)’ uses consumer’s profile, 2d picture and product promotion data curated by CIG to generate personalized data and demo content in the form of augmented video and images using deep machine learning techniques. • ‘Policy and Price Optimizer (PPO)’ uses product purchase requirements, consumer’s profile, seller’s profile and selling policy along with other ‘product delivery’ related information to create an optimized deal which offers the same product at lower price to the consumer.
  • 2.
  • 3.
  • 4.
  • 5.
  • 7. Fig 6 Product Info Product Info Product Info Product Info Product Info Product Info Product InfoProduct Info Product Info
  • 10. Fig 9