scholarly journals The Ultimate Bond

2022 ◽  
pp. 157-158
Author(s):  
Isha Jain ◽  
Abhay Apte ◽  
Ms. Shaan Malhotra ◽  
Dr. Manisha Singhai
Keyword(s):  
Direct Marketing ◽  
End Users ◽  
Manufacturing Plant ◽  
Retail Market ◽  
Collapsible Tube ◽  
Customer Base ◽  
Synthetic Adhesives ◽  
Game Plan

Being introduced in India in 1956 as an easy –to-use white glue for carpenters in replacement of Saresh (fat-based adhesives), the ULTIBOND company started its journey and never looked back. As The ULTIBOND Company was well known to recognize the need of their product and convert it into a marvelous opportunity, the company started manufacturing AI glue products for students as well as for professional and educational institutes. In order to shift end-users from natural glues and other synthetic adhesives available at the time, AI glue embarked on a bold marketing game plan. Instead of selling through stores, AI glue approached carpenters directly. This direct marketing initiative was one of the most successful strategies employed by the company and helped the brand gain a strong foothold in the white glue market. By 1965, the brand was big enough to develop its own manufacturing plant in Maharashtra. Primarily the company decided to enter into the retail market with a packaging of 33 grams collapsible tube in early 1970’s, later came up with many other unique packaging styles to cater the need and requirements of different segments of its customer base.

scholarly journals Occurrence and characteristics of Listeria monocytogenes in ready-to-eat food from retail market in the Czech Republic

2010 ◽  
Vol 27 (Special Issue 2) ◽  
pp. 3-7 ◽  
Author(s):  
T. Gelbíčová ◽  
R. Karpíšková
Keyword(s):  
Czech Republic ◽  
Listeria Monocytogenes ◽  
Dairy Products ◽  
Meat Products ◽  
Processed Meat ◽  
Manufacturing Plant ◽  
Retail Market ◽  
The Czech Republic ◽  
Confectionery Products ◽  
Typing Methods

The study objectives were to test ready-to-eat food from the retail market in the Czech Republic for the presence of L. monocytogenes and, based on typing methods, to investigate probable causes of contamination. A total 2180 samples of ready-to-eat food (meat, dairy, fish, delicatessen and confectionery products and fresh fruit and vegetables) were analysed qualitatively and quantitatively. L. monocytogenes isolates were characterised by serotyping and macrorestriction analysis after digestion with the restriction enzyme AscI. In 2004–2008 L. monocytogenes was most often detected in delicatessen (5.2%), meat (3.4%) and dairy products (1.8%). In the analysed samples, L. monocytogenes was mostly present at counts lower than 102 CFU/g. Only in 2004, higher counts of L. monocytogenes were found in two heat-processed meat products (103 CFU/g). The obtained macrorestriction patterns helped in tracing the source of contamination and routes of the spread of L. monocytogenes in the manufacturing plant and retail market.

scholarly journals Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning

2020 ◽  
pp. 52-52
Author(s):  
Suncica Rogic ◽  
Ljiljana Kascelan
Keyword(s):  
Support Vector Machine ◽  
Ensemble Learning ◽  
Direct Marketing ◽  
Rule Extraction ◽  
Support Vector ◽  
Purchasing Behavior ◽  
Customer Base ◽  
A Company ◽  
Better Than

An objective and data-based market segmentation is a precondition for efficient targeting in direct marketing campaigns. The role of customer segments classification in direct marketing is to predict the segment of most valuable customers who is likely to respond to a campaign based on previous purchasing behavior. A good-performing predictive model can significantly increase revenue, but also, reduce unnecessary marketing campaign costs. As this segment of customers is generally the smallest, most classification methods lead to misclassification of the minor class. To overcome this problem, this paper proposes a class balancing approach based on Support Vector Machine-Rule Extraction (SVM-RE) and ensemble learning. Additionally, this approach allows for rule extraction, which can describe and explain different customer segments. Using a customer base from a company?s direct marketing campaigns, the proposed approach is compared to other data balancing methods in terms of overall prediction accuracy, recall and precision for the minor class, as well as profitability of the campaign. It was found that the method performs better than other compared class balancing methods in terms of all mentioned criteria. Finally, the results confirm the superiority of the ensemble SVM method as a preprocessor, which effectively balances data in the process of customer segments classification

Empirical analysis of market boundaries in telecommunications

2019 ◽  
pp. 90-111 ◽  
Author(s):  
Natalia S. Pavlova ◽  
Andrey Е. Shastitko
Keyword(s):  
Law Enforcement ◽  
Empirical Analysis ◽  
Mass Distribution ◽  
End Users ◽  
Economic Modeling ◽  
Empirical Approach ◽  
Antitrust Law ◽  
Technological Changes ◽  
Loss Analysis ◽  
E Mail

The article deals with the problem of determining market boundaries for antitrust law enforcement in the field of telecommunications. An empirical approach has been proposed for determining the product boundaries of the market in the area of mass distribution of messages, taking into account the comparative characteristics of the types and methods of notification (informing) of end users; the possibilities of switching from one way of informing to another, including the evolution of such opportunities under the influence of technological changes; switching between different notification methods. Based on the use of surveys of customers of sending SMS messages, it is shown that the product boundaries should include not only sending messages via SMS, but also e-mail, instant messengers, Push notifications and voice information. The paper illustrates the possibilities of applying the method of critical loss analysis to determining the boundaries of markets based on a mixture of surveys and economic modeling.

Taxidermy undertaken by Sheals of Belfast

2019 ◽  
Vol 46 (2) ◽  
pp. 332-346 ◽  
Author(s):  
P. A. Morris
Keyword(s):  
Customer Base ◽  
International Reputation ◽  
Order Books

The Sheals taxidermy business in Belfast became famous for the quality of their work. Three of their order books survive, recording jobs done for named customers from January 1897 to December 1911, and January 1919 to January 1920 inclusive. Such records are extremely scarce as few taxidermists appear to have kept any regular paperwork until recent times, and little information has survived about such businesses from the heyday of commercial taxidermy. This paper reviews the types of taxidermy undertaken, species handled and the customer base for what became one of the leading taxidermists in Ireland, with an international reputation.

Investigation of Direct Load Management Scheme While Considering End Users Comfort

2009 ◽  
Vol 129 (2) ◽  
pp. 283-290 ◽  
Author(s):  
Junji Kondoh ◽  
Ahmed Shafiu ◽  
Nick Jenkins ◽  
Danny Pudjianto ◽  
Goran Strbac
Keyword(s):  
End Users ◽  
Load Management ◽  
Management Scheme
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