Abstract
Advances in computers design and communication technology have lead to introduction of global, dynamic and intelligent e-business models and new tools for e-commerce. These models use artificial intelligence techniques and web2 technologies to perform online transactions between businesses and customers. As the number of clients over the Internet grows rapidly advanced intelligent e-business models are needed to efficiently respond to clients with an optimum selection for their requests. In B2C models there are a large numbers of buyers and sellers where buyers specify their preferences and sellers specify their products and selling prices. The major role of AI techniques in B2C e-commerce is to come up with the best match between a buyer and seller. In B2B the major role of AI techniques is supply chain management to help clients taking the right decisions. Modern tools used by intelligent E-commerce models include: algorithmic trading, decentralized autonomous corporations (DAC), crypto-currency systems, smart contracts, Internet of Things, cloud computing and big data analytics.
TopIntroduction
Advances in computer architecture and communication technology have led to introduction of global, dynamic and intelligent e-business models and new tools for doing e-commerce. These models use artificial intelligence techniques and web2 technologies to perform online transactions between businesses and customers. As the number of clients over the Internet grows exponentially enhanced intelligent e-business models are needed to efficiently respond to clients with an optimum selection for their requests. Agent based e-business models use intelligent agents, mobile agents, evolutionary agents, rational agents, data-mining agents to develop agent-based e-commerce models. Recommender systems provide intelligent assistance to online customers is CBR-based or collaborative filtering based e-business models. In B2C models there are a large numbers of buyers and sellers where buyers specify their preferences and sellers specify their products and selling prices. The major role of AI techniques in B2C e-commerce is to come up with the best match between a buyer and seller. Examples of e-commerce systems in B2C using AI techniques are product selection and recommendation, negotiation and auction systems. In B2B the major role of AI techniques is supply chain management to help clients taking the right decisions. Modern tools used by intelligent E-commerce models include: algorithmic trading, decentralized autonomous corporations (DAC), crypto-currency systems, smart contracts, Internet of Things, cloud computing and big data analytics.
Key Terms in this Chapter
Social media: Websites and online applications that allow large group of people to communicate, socially interact, exchange information and share opinions.
Cloud Computing: A real-time distributed computing environment where data and applications are stored on globally distributed data centers which guarantee flexibility, availability, scalability, high storage capabilities and data replication.
Mobile Marketing: Broadly engaging with customers through advertisements, messages and apps on mobile devices.
Big Data: A type of structured and un-structured data that is characterized by its big volume usually measured in Terabytes, Exabytes or Petabytes and requires specific hardware and software tools for processing.
Internet of Things: The ever growing network of heterogeneous objects such as digital devices, software objects and human beings interconnecting to interact and exchange information.
E-Commerce: Doing traditional business over the Internet.
Intelligent Techniques: Artificial intelligence techniques that allow computers to perform complex tasks just like humans can do such as: understanding words meaning, decisions making and controlling complex objects.