Best offer recommendation service

Author(s):  
Kiran Gajanan Javkar ◽  
Siddharth Hasmukh Vora ◽  
Amit Someshwarrao Rodge ◽  
Joy Bose ◽  
Hitesh Sharma
2005 ◽  
Vol 14 (04) ◽  
pp. 439-467 ◽  
Author(s):  
ANTONIO RUIZ–CORTÉS ◽  
OCTAVIO MARTÍN–DÍAZ ◽  
AMADOR DURÁN ◽  
M. TORO

Software solutions to automate the procurement of web services are gaining importance when technology evolves, the number of providers increases and the needs of the clients become more complex. There are several proposals in this field, but they all have important drawbacks, namely: many of them are not able to check offers and demands for internal consistency; selecting the best offer usually relies on evaluating linear objective functions, which is quite a naive solution; the language to express offers is usually less expressive than the language to express demands; and, last but not least, providers cannot impose constraints on their clients. In this article, we present a solution to overcome these problems that relies on constraint programming; furthermore, we present a run-time framework, some experimental results, and a comparison with other proposals.


2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Biswajit Sarkar ◽  
Shib Sankar Sana ◽  
Kripasindhu Chaudhuri

When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which they have to take a decision which is the best offer for them to make more profit. The retailers try to buy perfect-quality items at a reasonable price, and also they try to invest returns obtained by selling those items in such a manner that their business is not hampered. In this point of view, we consider an economic order quantity (EOQ) model for various types of time-dependent demand when delay in payment and price discount are permitted by suppliers to retailers. The models of various demand patterns are discussed analytically. Some numerical examples and graphical representations are considered to illustrate the model.


2020 ◽  
Vol 135 (3) ◽  
pp. 1319-1361 ◽  
Author(s):  
Matthew Backus ◽  
Thomas Blake ◽  
Brad Larsen ◽  
Steven Tadelis

Abstract We study patterns of behavior in bilateral bargaining situations using a rich new data set describing back-and-forth sequential bargaining occurring in over 25 million listings from eBay’s Best Offer platform. We compare observed behavior to predictions from the large theoretical bargaining literature. One-third of bargaining interactions end in immediate agreement, as predicted by complete-information models. The majority of sequences play out differently, ending in disagreement or delayed agreement, which have been rationalized by incomplete information models. We find that stronger bargaining power and better outside options improve agents’ outcomes. Robust empirical findings that existing models cannot rationalize include reciprocal (and gradual) concession behavior and delayed disagreement. Another robust pattern at odds with existing theory is that players exhibit a preference for making and accepting offers that split the difference between the two most recent offers. These observations suggest that behavioral norms, which are neither incorporated nor explained by existing theories, play an important role in the success of bargaining outcomes.


2018 ◽  
Vol 78 (5) ◽  
pp. 571-591 ◽  
Author(s):  
Steffen Volkenand ◽  
Guenther Filler ◽  
Martin Odening

PurposeThe purpose of this paper is to investigate and compare the impact of order imbalance on returns, liquidity and price volatility in agricultural futures markets on an intraday basis. The authors examine whether order imbalance is more powerful to explain variations in asset prices compared to other indicators of trading activity, particularly trading volume.Design/methodology/approachUsing Chicago Mercantile Exchange best bid best offer data, the impact of order imbalance is analyzed via regression analyses. The analyses are carried out for corn, wheat, soy, live cattle and lean hogs in March 2008 and March 2016.FindingsResults confirm the positive relation between order imbalance and returns as well as between order imbalance and price volatility as suggested by market microstructure models. Order imbalance, however, does not generally outperform trading volume as an explanatory variable.Practical implicationsFor some contracts, returns can be predicted using lagged order imbalance. This offers the opportunity to derive profitable trading strategies.Originality/valueThis paper is one of the first attempts to explore the relationship between order imbalance and returns, liquidity and volatility for agricultural commodity futures on an intraday basis, accounting for the increased trading volume and for the high speed at which new information enters the market in an electronic trading environment.


Ánfora ◽  
2017 ◽  
Vol 13 (21) ◽  
pp. 54-76
Author(s):  
Joan Subirats I

This paper pretends to go deeply into the reasons that would explainjustify this dissarrengment between theory and practice, and propose some ways of advancement. Today, the policies of social inclusion almost always have strong elements of innovation, of creative adaptation to heterogeneous situations, not standarized a priori, and precisely for this reason, the elements of the proccess are very significative. It should not be strange to us, -lt is advised- that the evaluations that have this elements of proccess in mind, can be notably more powerful and useful than those that are centered exclusively in the subject "results".In these 14 points for debate, a discusion is presented about the role and results of public action, that it is not situated today only in how to make things, but it demands instruments that let also answer the questions of what public instruments must deal with, and who can best offer these effective and efficient results to these social demands channeled through these representative powers.


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