scholarly journals Dynamic Pricing under Cost Reduction in the Presence of Myopic and Strategic Consumers

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Guangning Liu ◽  
Zhenzhong Guan ◽  
Hua Wang
Keyword(s):  
Dynamic Pricing ◽  
Cost Reduction ◽  
Pricing Strategy ◽  
Future Price ◽  
Purchase Decisions ◽  
Pricing Strategies ◽  
Strategic Consumers ◽  
Technology Advancement ◽  
Significant Cost Reduction ◽  
Strategic Waiting

After release, a product usually suffers cost reductions during its whole lifespan. Compared to the myopic, strategic consumers may have stronger incentive to delay the purchase once they perceive that a significant cost reduction will result in a markdown. The strategic (compared to the myopic) properties influence the seller both quantitatively in terms of proportion of strategic consumers and qualitatively in terms of customer patience. To forecast the reaction of the whole market under cost reduction, it is necessary to acquire the strategic properties. In this paper, we study the impacts of proportion of strategic consumers, customer patience, and cost reduction on dynamic pricing strategy when cost reduction comes from technology advancement. The seller makes pricing strategies when facing unknown future cost, and the buyer makes purchase decisions when facing unknown future price. Our study shows that generally both higher strategic consumer proportion and customer patience contribute to a delay in sales. Further, profit diversion happens under great combination of strategic properties. In addition, with the increase of customer patience, not only strategic but also myopic consumers will buy less. Finally, the strategic properties moderate the pricing strategy in latter stage when there is a cost reduction. This indicates a threshold as combination of strategic properties, upon which seller tends to offer a smaller markdown to discourage strategic waiting, and under which seller tends to offer a greater markdown to divert strategic consumers to the latter period.

Dynamic pricing of perishable food as a sustainable business model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael Scholz ◽  
Roman-David Kulko
Keyword(s):  
Willingness To Pay ◽  
Food Waste ◽  
Dynamic Pricing ◽  
Pricing Strategy ◽  
Pricing Strategies ◽  
Sustainable Business ◽  
Content Type ◽  
Food Retailers ◽  
Static Pricing ◽  
The Impact

PurposeThe purpose of this paper is to (1) investigate the effect of freshness on consumers' willingness to pay, (2) derive static and dynamic pricing strategies and (3) compare the effect of these pricing strategies on a retailer's revenue and food waste. This investigation helps to reveal the potentials of dynamic pricing strategies for building more sustainable business models.Design/methodology/approachThe authors conduct an online experiment to measure consumers' willingness to pay for fresh and three-days’ old strawberries. The impact of freshness on willingness to pay is analysed using univariate tests and regression analysis. Pricing strategies are compared using a Monte Carlo simulation.FindingsThe results of this study show that freshness largely determines consumers' willingness to pay and price sensitivity. This renders dynamic pricing a promising strategy from an economic point of view. The results of the simulation study show that food waste can be reduced by up to 53.6% with a dynamic pricing instead of a static pricing strategy in the case that there are as many consumers as strawberry packages in the inventory. Revenue can be increased by up to 10% compared to a static pricing strategy based on fresh strawberries.Practical implicationsThis study suggests that food retailers can improve their revenue when switching from static to dynamic pricing. Furthermore, in most cases, food retailers can reduce food waste with a dynamic instead of a static-pricing strategy, which might help to improve their image through a more sustainable business model and attract additional consumers.Originality/valueThis study is the first to analyse the possibility of using food freshness to design a dynamic pricing strategy and to analyse the impact of such a pricing strategy on both, a retailer's revenue and a retailer's food waste.

scholarly journals Optimal Policies for the Pricing and Replenishment of Fashion Apparel considering the Effect of Fashion Level

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Qi Chen ◽  
Qi Xu ◽  
Wenjie Wang
Keyword(s):  
Dynamic Pricing ◽  
Price Policy ◽  
Pricing Strategy ◽  
Sensitivity Analyses ◽  
Pricing Strategies ◽  
System Parameters ◽  
Optimal Dynamic ◽  
Replenishment Cycle ◽  
Fashion Apparel ◽  
Short Product

Fashion apparel, with short product lifecycles and highly volatile demand, requires careful attention during both the initial ordering periods before the selling season and during the selling season, with its decisions regarding price and replenishment. Using Pontryagin’s maximum principle method, this study investigates the problem of the dynamic pricing strategy and replenishment cycle for fashion apparel by considering the effect of fashion level on demand. First, we provide a framework for fashion apparel by formulating a model that includes both price and demand at different fashion levels. We then provide an algorithm to derive the optimal dynamic pricing strategy and replenishment cycle. Numerical examples and sensitivity analyses of the main system parameters are provided to demonstrate the obtained results, which form the basis for managerial insights. It is shown that the apparel retailer has three types of optimal dynamic pricing strategies and that the optimal strategy is independent of the replenishment cycle. The apparel retailer is able to realize the profit advantage of a continuously variable price policy by adjusting the sales price periodically.

scholarly journals Ticket Sales Prediction and Dynamic Pricing Strategies in Public Transport

2020 ◽  
Vol 4 (4) ◽  
pp. 36
Author(s):  
Francesco Branda ◽  
Fabrizio Marozzo ◽  
Domenico Talia
Keyword(s):  
Public Transport ◽  
Dynamic Pricing ◽  
Low Cost ◽  
Important Change ◽  
Pricing Strategy ◽  
Pricing Strategies ◽  
Long Distance ◽  
Ticket Sales ◽  
Transport Services ◽  
Sales Prediction

In recent years, the demand for collective mobility services registered significant growth. In particular, the long-distance coach market underwent an important change in Europe, since FlixBus adopted a dynamic pricing strategy, providing low-cost transport services and an efficient and fast information system. This paper presents a methodology, called DA4PT (Data Analytics for Public Transport), for discovering the factors that influence travelers in booking and purchasing bus tickets. Starting from a set of 3.23 million user-generated event logs of a bus ticketing platform, the methodology shows the correlation rules between booking factors and purchase of tickets. Such rules are then used to train machine learning models for predicting whether a user will buy or not a ticket. The rules are also used to define various dynamic pricing strategies with the purpose of increasing the number of tickets sales on the platform and the related amount of revenues. The methodology reaches an accuracy of 95% in forecasting the purchase of a ticket and a low variance in results. Exploiting a dynamic pricing strategy, DA4PT is able to increase the number of purchased tickets by 6% and the total revenue by 9% by showing the effectiveness of the proposed approach.

scholarly journals Pelatihan Pendidikan Entrepreneurship Bagi Siswa-Siswi SMAK Frateran: Penentuan Strategi Harga Jual

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Lenny Gunawan ◽  
Agustiono Agustiono ◽  
Charly Hongdiyanto ◽  
Wendra Hartono
Keyword(s):  
Community Service ◽  
Dynamic Pricing ◽  
Service Industry ◽  
Value Added ◽  
Pricing Strategy ◽  
Pricing Strategies ◽  
Low Order

The purpose of this community service to Frateran Highschool is to increase their understanding towards Determining Pricing Strategy within their businesses. This training is on live discussion via zoom regarding the previous experiences in determining pricing strategy among lecturers, facilitators, and students as participants. These activities were conducted in an hour meeting session on 17th September 2021, as community service from Ciputra lecturers’ activity to SMAK. Frateran Surabaya. The class was attended by 12 out of 15 students registered, grade XII within Entrepreneurship Subject. The pricing strategies matrix consists of 3x3 quadrants, which then divided into 1. Fixed menu Pricing, and 2. Dynamic Pricing. Students also learned about value added within a product, thus lead them into positioning and differentiation for the businesses. The explanation also given by using examples for each method: Traveloka, Gofood, Grabfood (promotional posters & vouchers) to balance out peak and low order times, Ovo (program features in application) increasing customers convenience in adding values, Starbucks (personnel contribution service and behind the scenes operational video). The conclusion, the activity was able to increase students’ understanding of fixed and dynamic pricing strategy, value added within products/services, and finally positioning and differentiation within service industry.

scholarly journals Pricing Strategies of Logistics Distribution Services for Perishable Commodities

Algorithms ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 186
Author(s):  
Tao Li ◽  
Yan Chen ◽  
Taoying Li
Keyword(s):  
Dynamic Pricing ◽  
Consumer Satisfaction ◽  
Service Providers ◽  
Time Constraints ◽  
Optimal Pricing ◽  
Pricing Strategies ◽  
Pricing Model ◽  
Logistics Service ◽  
Distribution Services ◽  
Perishable Goods

The problem of pricing distribution services is challenging due to the loss in value of product during its distribution process. Four logistics service pricing strategies are constructed in this study, including fixed pricing model, fixed pricing model with time constraints, dynamic pricing model, and dynamic pricing model with time constraints in combination with factors, such as the distribution time, customer satisfaction, optimal pricing, etc. By analyzing the relationship between optimal pricing and key parameters (such as the value of the decay index, the satisfaction of consumers, dispatch time, and the storage cost of the commodity), it is found that the larger the value of the attenuation coefficient, the easier the perishable goods become spoilage, which leads to lower distribution prices and impacts consumer satisfaction. Moreover, the analysis of the average profit of the logistics service providers in these four pricing models shows that the average profit in the dynamic pricing model with time constraints is better. Finally, a numerical experiment is given to support the findings.

scholarly journals The Analysis of Blocking Behavior and Pricing: The Case of Airbnb

2020 ◽  
pp. 1-28
Author(s):  
Yifeng Peng
Keyword(s):  
Empirical Analysis ◽  
Rapid Growth ◽  
Profit Maximization ◽  
Sharing Economy ◽  
Pricing Strategy ◽  
Pricing Strategies ◽  
Product Pricing ◽  
Starting Point ◽  
The Future ◽  
Resources Sharing

Over the years, as people's lives have improved, our need for transportation and accommodation has increased, driving the rapid growth of the sharing economy. Some well-known network sharing platforms, such as Uber, Drip and Airbnb, provide a large number of convenient options for users with transactional needs, make more use of idle tourism, accommodation and other resources. Sharing economy platforms continue to improve the content and format of their products, but at the same time, the future of sharing platforms and the difficulty of competition is a concern as more platform companies become involved and prices become more transparent. Under this circumstance, optimizing product pricing has become an urgent need for many sharing economy platforms. In this paper, we take Airbnb as the starting point and conduct an empirical analysis of the blocking behavior of homeowners based on proprietary data to explore the factors that affect their product supply. We find that price, number of beds, and listing type all have a significant impact on blocking houses. After that, we conducted further research on price factors and developed a model aiming at profit maximization to obtain the best pricing range for the region and provide suggestions for pricing strategies. Keywords: Sharing Economy, Blocking behavior, Pricing Strategy, Airbnb

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