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Point of sale: History & Applications

The point of sale (POS), or point of purchase (POP), is the time and place at which a retail transaction is completed. At the point of sale, the merchant calculates the amount owed by the customer, indicates that amount, may prepare an invoice for the customer (which may be a cash register printout), and indicates the options for the customer to make…

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Point of sale topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Point of sale.

Related topics
101
Source areas
9
Connected nodes
110
Extracted relationships
130
Concept neighborhoods
17
Bridge connections
110

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 42 topics
Retail industry · 14 topics
Overview · 13 topics
Cloud-based (post-2000s) · 12 topics
Security · 12 topics
Hospitality industry · 4 topics
User interface design · 2 topics
Accounting forensics · 1 topics
Terminology · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Terminology

History

User interface design

Cloud-based (post-2000s)

Retail industry

Hospitality industry

Accounting forensics

Security

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Point of sale connects Entity context

The extracted context around Point of sale shows recurring relationship patterns in the source. For example, Point of sale → Associates, Big Mac, By, Dillard's, Each, Early, ECR, Grill, IBM, IBM Personal Computer, In, In August, Intel, It, LAN, Large Fries, Manager Mode, McDonald's, McDonald's Restaurants, New Jersey Another extracted example is Point of sale → Early, Express, If, Modern, Piggly Wiggly, Regardless, Self-service, Smaller, Some, Staff, They. Use these groups to spot repeated connection types before inspecting the individual relationships.

Point of sale

Top relations

related to Software before the 1990s · 30
Point of sale → Associates, Big Mac, By, Dillard's, Each, Early, ECR, Grill, IBM, IBM Personal Computer, In, In August, Intel, It, LAN, Large Fries, Manager Mode, McDonald's, McDonald's Restaurants, New Jersey
related to Checkout configuration · 11
Point of sale → Early, Express, If, Modern, Piggly Wiggly, Regardless, Self-service, Smaller, Some, Staff, They
related to Hospitality industry · 8
Point of sale → Additionally, Hospitality, In, Like, Point, Printers, The, They
related to Cloud-based (post-2000s) · 7
Point of sale → Compared, EPOS, Internet, POS, POS's, The, Using
see also · 6
Point of sale → EFTPOSISO, Embedded Industry, EPOS, Interchange LanguageUnifiedPOSBack-office, POS, Windows Embedded POSReady
related to Terminology · 5
Point of sale → POP, POS, Retailers, Some, This

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

pos system systems sale also software may customer payment point retail sales inventory many cash used one customers use computer

Point of sale relationships Subject–Predicate–Object triples

TTTA extracted 130 structured relationships around Point of sale. Examples in this analysis include weighing scales → instance of → the merchant may use various devices and Windows → instance of → A wide range of POS applications have been developed on platforms. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
weighing scalesinstance ofthe merchant may use various devices0.80text
barcode scannersinstance ofthe merchant may use various devices0.80text
and cash registersinstance ofthe merchant may use various devices0.80text
Windowsinstance ofA wide range of POS applications have been developed on platforms0.80text
Unixinstance ofA wide range of POS applications have been developed on platforms0.80text
the following are requiredinstance ofticketing offices such as cinemas and sports facilities and many other operations where capabilities0.80text
creating item buttonsinstance ofwhether it has functionality0.80text
various discountsinstance ofwhether it has functionality0.80text
adding a service chargeinstance ofwhether it has functionality0.80text
holding of receiptsinstance ofwhether it has functionality0.80text
queuinginstance ofwhether it has functionality0.80text
table service as well as takeawaysinstance ofwhether it has functionality0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Point of sale bring nearby vocabulary together. In this analysis, examples include Sale, Window and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Point of sale
    • Sale
    • Window
    • Software
    • Used
    • Systems
    • Computer
    • Retail
    • Customer
    • Payment
    • Interface
    • Order
    • Security
  • point of sale
    • Sale
    • Window
    • Software
    • Used
    • Systems
    • Computer
    • Retail
    • System
    • Customer
    • Payment
    • Interface
    • Order
  • customer
    • Order
    • Information
    • Cash
    • May
    • Sales
    • Point
    • Sale
    • Pos
    • Computer
    • Inventory
    • Software
    • Retail
  • cash registers
    • Customer
    • Include
    • May
    • Retail
    • Sales
    • Systems
    • Cashier
    • Interface
    • System
    • Information
    • Computer
    • Required
  • payment terminals
    • Security
    • Pos
    • Software
    • Goods
    • Devices
    • Data
    • Also
    • Point
    • Features
    • Information
    • Used
    • Sale
  • ibm personal computer
    • Point
    • Used
    • Sale
    • Software
    • Customer
    • Features
    • Interface
    • Remote
    • Restaurants
    • Inventory
    • Sales
    • Systems
  • the national retail federation
    • Interface
    • Cash
    • Used
    • Many
    • Software
    • Sales
    • Customer
    • Systems
    • Sale
    • System
    • Cashier
    • Information
  • mobile payment
    • Security
    • Pos
    • Software
    • Goods
    • Devices
    • Data
    • Also
    • Point
    • Features
    • Information
    • Used
    • Sale

Connections between topic areas Semantic bridges

For Point of sale, one of the stronger structural bridges in this analysis connects Point of sale with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Point of sale — History · splits 68 ⟂ 43
Point of sale — Retail industry · splits 96 ⟂ 15
Point of sale — Overview · splits 97 ⟂ 14
Point of sale — Cloud-based (post-2000s) · splits 98 ⟂ 13
Point of sale — Security · splits 98 ⟂ 13
Point of sale — Hospitality industry · splits 106 ⟂ 5
Point of sale — User interface design · splits 108 ⟂ 3

Map overview Semantic statistics

Point of sale

Nodes111
Edges110
Triples130
Avg. degree1.98
Density0.018018
Components1

Source & methodology

TTTA analyzes the structure around Point of sale to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Point of sale · EN edition · Analysis: TopicsToTalkAbout

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