1.5Business industry

This section looks at the IT mechanisms actually used within specific industries—retail, manufacturing, finance, and more. Rather than staying at the level of abstract management theory, it helps to connect these ideas to familiar scenes: a store's checkout register, a factory production line, online shopping, an AI chatbot.

1.5.1Business systems (POS, EDI, IoT applications)

• POS (Point of Sale) records and aggregates information—item name, price, quantity, time—at the register the moment a product is sold. It is used to identify best-selling items and optimize ordering.
• EDI (Electronic Data Interchange) exchanges transaction data—purchase orders, invoices—between companies electronically, in a standardized format. It eliminates paper document exchange and speeds up and improves the accuracy of processing.
• Business applications of IoT: collecting operating status and location data from sensor-equipped equipment or products is increasingly used for remote monitoring and predictive maintenance (detecting early signs of failure).

1.5.2Engineering and production management (JIT, kanban)

• JIT (Just In Time) is the idea of producing or procuring "what is needed, when it is needed, in the amount needed." Avoiding excess inventory cuts wasted cost.
• The kanban system is one concrete mechanism for implementing JIT: a downstream process signals what parts it needs to the upstream process using a card called a "kanban," realizing pull-type production.

1.5.3E-business (e-commerce, long tail, fintech)

• E-commerce is buying and selling goods and services over the internet. The long tail describes how, online, a wide variety of low-volume, non-bestselling items—too many to stock in a physical store—can be sold broadly at low inventory cost, and together add up to substantial sales.
• Fintech blends Finance and Technology. It refers to the movement of innovating financial services with IT—smartphone payments, money-transfer apps, robo-advisors, and the like.

1.5.4IoT/embedded systems and AI use

• An embedded system is a computer system built into a device such as a home appliance, automobile, or industrial machine to perform a specific function. Unlike a general-purpose PC, it is purpose-built.
• Machine learning is a technology by which a computer learns patterns or rules from large amounts of data on its own. Generative AI creates new content, such as text or images. Its use in business has been growing rapidly.
• Hallucination is when a generative AI produces plausible-sounding but factually incorrect information as if it were true. This is an important caution to keep in mind when using AI.
• AI ethics covers principles to consider when using or developing AI—fairness, transparency, accountability, and privacy protection. Rather than taking generative AI output at face value, it must be paired with human fact-checking.

Picture a mid-sized regional apparel company advancing its online retail and AI use, and walk through this section's terms. Its physical store checkout runs on a POS system: every time an item sells, the name, size, and time are recorded, and by the next morning the company can see which color and size sold. With its sewing supplier, it stopped using paper purchase orders and switched to EDI, exchanging order data electronically, sharply cutting ordering mistakes and processing time. On the production side, it adopted JIT thinking and switched to pull-type production using the kanban system, where the downstream process (sewing) signals only the fabric it needs to the upstream process (cutting), reducing excess inventory. On its online store, it lists items too niche for the physical shop—small sizes, limited colors—and confirms that, in a long tail pattern, small volumes add up to substantial sales. For payment, it adopted a smartphone payment service from a fintech company, lowering the barrier to purchase. It also introduced a generative AI-powered chatbot for customer support, automatically answering routine questions like "what are the return conditions?" However, an incident occurred where the chatbot hallucinated and described a promotional campaign that did not actually exist, so the company revised its process to have a human verify AI answers afterward, and, from an AI-ethics standpoint, also began being transparent about disclosing when a response comes from AI. In the warehouse, IoT devices with sensors attached to stock track inventory status in real time, preventing stockouts and overstock.

1.5.5Section summary

• POS records at the point of sale. EDI exchanges electronic data between companies. IoT is applied to remote monitoring and predictive maintenance
• JIT means only what is needed, when needed. Kanban is the concrete mechanism for pull-type production
• E-commerce and the long tail, and fintech. Address generative AI hallucination with human fact-checking and AI ethics (transparency, etc.)