Automated Grocery Ordering Systems for Smart Home

Hong, Ki-sung; Kim, Hyoung Joong; Lee, Chulung

doi:10.1109/fgcn.2007.74

Cited by 12 publications

(12 citation statements)

References 2 publications

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“…Research on the use of grocery items in the home has focused on features such as environmental and financial impact of food waste [5,47]. Of the work that considers other benefits, such as convenience to users, Hong et al [26] proposed a semi-autonomous system that prompted users to re-order items that are running low, based on sensors in cupboard shelves. However their approach stopped short of satisfying household needs.…”

Section: Domestic Grocery Shoppingmentioning

confidence: 99%

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Tracking the Consumption of Home Essentials

Fuentes

Porcheron

Fischer

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Predictions of people's behaviour increasingly drive interactions with a new generation of IoT services designed to support everyday life in the home, from shopping to heating. Based on the premise that such automation is difficult due to the contingent nature of people's practices, in this work we explore the nature of these contingencies in depth. We have designed and conducted a technology probe that made use of simple linear predictions as a provocation, and invited people to track the life of their household essentials over a two-month period. Through a mixed-method approach we demonstrate the challenges of simple predictions, and in turn identify eight categories of contingencies that influenced prediction accuracy. We discuss strategies for how designers of future predictive IoT systems may take the contingencies into account by removing, hiding, revealing, managing, or exploiting the system uncertainty at the core of the issue. CCS CONCEPTS • Human-centered computing → Field studies; Empirical studies in ubiquitous and mobile computing; Empirical studies in HCI .

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Section: Domestic Grocery Shoppingmentioning

confidence: 99%

“…using more than usual (26), and used up in batch cooking (13). 'Sporadic events' was the second-most frequent category (115).…”

Section: Understanding Household Consumptionmentioning

confidence: 99%

Tracking the Consumption of Home Essentials

Fuentes

Porcheron

Fischer

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…An online catering and reserving ordering system suggests a mobile intelligent terminal which "can achieve customer focused restaurant services with full range, personalization, and high quality services" [7]. An automated grocery ordering system for smart home has been proposed in [8]. Online grocery shopping system called Easy Grocery which is available at using a 3D system as an interface to the user during their shopping experience has been proposed in [9].…”

Section: Related Workmentioning

confidence: 99%

Developing Mobile E-Groceries Model

Othman¹,

Amir²,

Mansu³

et al. 2015

2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT)

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In a traditional groceries market, various business models have been implemented. Most of these models failed due to e-grocery retailing process. This has led to many inefficient operation of the groceries market in many parts of the world. Previous studies have shown the application and success of eGroceries system in a web based scheme. This paper tries to develop a prototype for e-Groceries system on android platform suitable for most mobile devices. The system's objective includes introducing a new way of grocery shopping especially for Malaysians. The development of the system follows the generic software development process. Thus we provide a detailed system development and its implementation. During implementation we call the system as MyMart e-Groceries system. Users can select various types of groceries in a simple and friendly mobile user interface and pay for the selected choice, which will be subsequently delivered to their door steps.

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“…Source: Hong et al [12] smart grocery cabinet will automatically computes and identifies the reorder points when grocery items must be replenished, with consideration of the ordering costs. It will then notify the users using smart devices (such as smart phones), and users will be able to place orders to their preferred grocery chains.…”

mentioning

confidence: 99%

“…Hong et al [12] provides a conceptual framework for the Smart Home System (SHS) including the Grocery Shopping Agent (GSA), as shown in Fig. 1.…”

mentioning

confidence: 99%

The Impacts of an Electronic Marketplace with Multiple Independent Retailers for Smart Grocery Ordering Systems

Lee

Bao

2011

Wireless Pers Commun

Self Cite

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This study investigates the impacts of an electronic marketplace with multiple independent retailers for a smart grocery ordering system. Apart from replenishing products from suppliers, the system can also purchase/sell products from/to the electronic marketplace through 'spot shops'. Both static and dynamic pricing models for the electronic marketplace are developed. An extensive numerical experiment is conducted and the results show that under both static and dynamic pricing, (i) the inventory cost of the aggregated supply chain is significantly reduced; (ii) each participant also enjoys significant cost savings from employing the electronic marketplace. Furthermore, the cost savings increase as the lead times from suppliers increase and/or the variability of their demands increases. The participants' cost savings also increase as more participants employ the electronic marketplace.

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Automated Grocery Ordering Systems for Smart Home

Cited by 12 publications

References 2 publications

Tracking the Consumption of Home Essentials

Tracking the Consumption of Home Essentials

Developing Mobile E-Groceries Model

The Impacts of an Electronic Marketplace with Multiple Independent Retailers for Smart Grocery Ordering Systems

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