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Point of sales

Point of sales

description47 papers
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Point of sales (POS) refers to the location and system where a retail transaction is completed, involving the process of capturing customer purchases, processing payments, and managing inventory. It encompasses both hardware and software components that facilitate sales transactions and enhance operational efficiency in retail environments.
lightbulbAbout this topic
Point of sales (POS) refers to the location and system where a retail transaction is completed, involving the process of capturing customer purchases, processing payments, and managing inventory. It encompasses both hardware and software components that facilitate sales transactions and enhance operational efficiency in retail environments.

Key research themes

1. How do point-of-sale (POS) marketing and display strategies influence consumer behavior and product sales?

This research theme investigates the specific tactics used by retailers and manufacturers at the point of sale to affect consumer purchase decisions and product visibility. Understanding these strategies is critical for optimizing sales outcomes and complying with regulatory requirements, especially in sectors with advertising restrictions.

IQOS point-of-sale marketing strategies in Israel: a pilot study
by Ihab Khatib

2021, Israel Journal of Health Policy Research

Key finding: This study found that IQOS heat sticks (HEETS) were marketed at POS with prominent product displays positioned at higher and more noticeable placements compared to other tobacco products, often near youth-oriented... Read more
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Cross-selling - Offering the right product to the right customer at the right time.pdf
by Wagner Kamakura

2016

Key finding: The article demonstrated that cross-selling at POS is evolving from personal sales interactions to leveraging customer data and CRM analytics to identify timely product offers, enhancing the firm's share of customer wallet... Read more
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Smart Point-of-Sale Automation
by Franklin Daniels

2022

Key finding: This work presented an automated POS system integrating facial recognition to identify customers and tailor product recommendations and sales promotions based on purchase history. This innovation illustrates how technology... Read more
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Development of Inventory Management Application Points Of Sale Using Laravel
by Eko Junirianto

2023, TEPIAN

Key finding: The paper developed a POS application focused on inventory management to support SMEs, linking sales transaction data with stock control to reduce stock-outs and overstocks. This integration at POS allows businesses to... Read more
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2. What roles do technological innovations and integrations in POS systems play in enhancing retail efficiency and customer experience?

Research in this area explores how advances in POS technology, such as system integration, automation, and analytics, contribute to streamlining retail operations, improving inventory control, and enriching customer engagement. This theme is vital for understanding how technological progress drives both operational and experiential improvements in retail contexts.

Simplifying Operations and Enhancing the Guest Experience with Cafe Point of Sale Eco-Systems
by Ajmad Khan

2023, Ajmad Khan

Key finding: This article highlighted how cafe POS ecosystems with features such as customizable ordering, inventory tracking, and integration with loyalty programs improve operational efficiency and guest satisfaction. Advanced analytics... Read more
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Feasibility Study of Web-Based POS System Implementation for SMEs in Bangladesh
by Arefin Islam Sourav

2022, IOP Conf. Series: Materials Science and Engineering

Key finding: The feasibility study concluded that web-based POS systems can significantly benefit SMEs by improving record-keeping, inventory management, and sales tracking, despite current infrastructural and technological challenges.... Read more
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Smart Point-of-Sale Automation
by Franklin Daniels

2022

Key finding: By integrating facial recognition and database management at POS, this research showcased how automation can facilitate personalized customer interactions and targeted sales promotions, illustrating an advanced application of... Read more
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Development of Inventory Management Application Points Of Sale Using Laravel
by Eko Junirianto

2023, TEPIAN

Key finding: The study designed a Laravel-based POS solution tailored to streamline inventory and sales reporting for small and medium enterprises, improving decision-making and operational control. This technical approach demonstrates... Read more
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3. How does spatial design and consumer psychology at the point of sale affect communication effectiveness and customer behavior?

This theme examines the impact of physical environment factors such as space allocation, crowding, personal space occupancy, and store layout on consumer psychological states and communication dynamics within retail settings. Insights here inform design decisions that optimize shopper comfort, engagement, and ultimately, purchase behavior at POS.

The Impact of Personal Space Occupation on the Effectiveness of Communication and the Psychological State of the Consumer at the Point of Sale
by Tripodos Journal

2024

Key finding: The paper introduced a novel Personal Area Ratio (PAR) formula incorporating the number of consumers to assess crowding effects. It found that both Floor Area Ratio (FAR) and PAR significantly influence consumer perceptions... Read more
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The mobile-assisted showroomer’s dilemma: where to buy? Actions to prevent sales leakage
by Jorge Pelegrín Borondo

2023, Humanities and Social Sciences Communications

Key finding: This study revealed that in-store smartphone use creates an ethical dilemma for consumers torn between purchasing at the physical store or online. Ethical judgment factors influence this decision, affecting sales leakage in... Read more
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Related Topics

  • Electronic Records Management
  • Records Management
  • Inventory Management
  • Mobile Learning
  • Latent variable modeling
  • Financial Econometrics
  • Mobile Payments
  • Supplier relationship management
  • Uninterruptible power supplies (UPS)
  • SUPPLY CHAIN OPTIMIZATION

    • All papers in Point of sales

    Relative Affine Structure: Canonical Model for 3D From 2D Geometry and Applications
    by Amnon Shashua

    1996, IEEE Transactions on Pattern Analysis and Machine Intelligence

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    The value of sharing planning information in supply chains
    by Patrik Jonsson

    2013, International Journal of Physical Distribution & Logistics Management

    Information sharing context Figure 1. The research variables and research model Methodology and research design This analysis is based on a simulation study. The use of simulation in supply chain analysis is a rather obvious choice since discrete event simulation models can handle stochastic behaviour throughout the supply chain and thus phenomena dependent on uncertainties in operations can be evaluated (Persson and Olhager, 2002). A simulation approach is also necessary for studying cases with a mix of a few large customers with information sharing and several small customers without information sharing.
    ‘able 1. Customer orders and daily demand per customer in a customer distribution netwo
    Table 2. Inventory control parameters
    Table 3. Summary of how data received from the customers for the various information sharing types is processed Simulation model and performance measurement
    Table 4. Changes in capital tied up in inventory in per cent for various information types (Even demand and customer replenishment order quantities = 5 days’ average demand)
    Table 5 shows a significant reduction in average inventory when sharing stock- on-hand data. It is obvious from these results that an important reduction in average inventory can be achieved even in the case with seasonally varying demand by letting the supplier share the customers’ stock-on-hand data. The reduction is the same size as for the even demand scenario. The influence of non-information sharing customers is the same as in the even demand scenario.
    Unlike the scenarios with even demand and seasonal variation in demand, significant reductions in average inventory are achieved when forecasts and planned order information are shared with customers. This can be expected since promotional influences on customer demand from a supplier point of view represent a non-stationary condition that cannot be forecast by the supplier. By using customer forecasts or planned orders from the customers, the supplier can base its inventory replenishment decisions on this information instead of historical sales. These findings support Angulo et al. (2004) who argue that sharing forecasts should primarily be applied when demand is non-stationary. They are also in line with Kaipia and Hartiala (2006) who argue that sharing forecast information is more valuable when the customers’ forecasts are more accurate than the supplier's.
    The followin 1) The value non-stational both random formation i ng plat has no formation a he fect does hen shari n value, regal shari roportion of all n the bullwhi ng on ned order i K-On- tions). bullwhip effects, nformation wh rdless of demand ng is p effe ot exist. T y stoc customers involved i formation shari formation with ng wi in general larger when nin t). For ct is significan here are signifi k-on-hand data w hand data i 3) Sharin d is non- inven en the de type. 5 formation s g general conclusions are drawn: of information sharing differs dependi ry. 2) Sharing stoc and cyclical varia s valuable when deman the Burbidge type of statio tories inc mand is s ) With s there are nary. hari i th small customers. T tion for info om n sharing. om his indicates only a limited number of large custome rmatio ta non-stational cant reductions in ith a limited nu ng on whether dem s valuable when deman g customer forecast and planned order Due to system rease rather th ‘tionary. A)S tionary demand, the value of fewer customers, with a larger ng, and larger order batch sizes (i.e. ry de nven cS, W. and is stationary or dis stationary (with nervousness created an decrease when haring point-of-sales mand, this order batch size tories with stationary demand mber of big customers and no that i t may be valuable to share hich is often the most practical
    Appendix A
    Note: The figures represent changed inventory level mean values (in percentage) compared to the baseline scenario without information sharing. Bold means are significantly different (p < 0.05) compared to the baseline scenario without information sharing. Note: The figures represent changed inventory level mean values (in percentage) compared to the baseline scenario without information sharing. Bold means are significantly different (p < 0.05) compared to the baseline scenario without information sharing.
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    Logistics chain management for emergency supply
    by Makoto Okumura

    2011

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    The installation of POS (Point of Sale) terminals by Indian banks
    by Dr. Munish Sabharwal
    The main objective of this research paper is to find out whether the selected Indian Banks have installed sufficient number of POS (Point of Sale) Terminals. This was pursued by collecting secondary data from RBI Reports, Regulations and... more
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