Made available in DSpace on 2015-03-05T14:01:49Z (GMT). No. of bitstreams: 0 Previous issue date: 29 / Nenhuma / Este trabalho tem por objetivo apresentar uma proposta para a previsão de vendas de produtos, com fundamentação teórica, por meio da utilização de Redes Neurais Artificiais, utilizando como estudo de caso uma indústria que desenvolve produtos para o ramo de telecomunicação. Atualmente, realizar previsões de venda nas empresas é fundamental para reduzir seus custos com gastos desnecessários em recursos humanos e materiais e aumentar sua liquidez, sem perder a qualidade que os clientes estão acostumados, no sentido de evitar atrasos nos prazos de entrega dos produtos. O problema abordado nesta dissertação é importante para quase todas as áreas das indústrias, uma vez que a correta previsão de vendas permite às indústrias uma melhor organização de seu setor produtivo, permitindo a antecipação da quantidade ideal de matéria-prima a ser adquirida, o alinhamento de sua linha de produção, de modo a não ocorrerem alterações bruscas em seus layouts de fábrica, e um maior controle de seus níveis de estoque, reduzindo e / This work has the objective to present a methodology to predict product sales using artificial neural networks, as a study case was treated the periodic sales volume of an industry which develops products to the telecommunication area. Nowadays, realize sales prediction in the companies is crucial to reduce the costs with human resources, materials and increase the liquidity, without loose the quality which the clients are familiarized, avoiding delays in the products deliveries. The problem which this dissertation tackles is important to several kinds of industries, once a precise sales prediction allow the industries to organize themselves in a better way. It allows the company to know anticipated the material to be acquired, align their productions lines, avoiding an abrupt change in the factory layouts and offers a better control of their stocks. The study realized and the solution proposed are based on Artificial Neural Networks, applied to predict product sales using the sales history and the insertion

Elektroninė komercija yra viena labiausiai besiplečiančių verslo šakų, pasižyminti plačiomis, pasaulinį mastą apimančiomis, pasirinkimo galimybėmis, didele konkurencija ir milžiniškais vartotojų lūkesčiais, kuriuos turi pateisinti el. komercijos srityje dirbančios įmonės, besistengiančios pasiūlyti kokybiškų prekių ir pritraukti kuo daugiau vartotojų. Vienas iš būdų tai padaryti yra pardavimo skatinimas, turintis nemažai tiek tradicinių, tiek specifinių, tiek tik virtualiai erdvei būdingų priemonių. Šio magistro darbo tikslas - išanalizavus elektroninės komercijos ir pardavimo skatinimo ypatumus virtualioje aplinkoje bei atlikus pardavimo skatinimo el. parduotuvėje atraskgrozi.lt analizę, pateikti produktų pardavimo skatinimo pasiūlymų, skirtų el. komercijai. Magistro darbas yra sudarytas iš trijų dalių: pirmojoje dalyje atliekama pardavimo skatinimo analizė elektroniniame versle, kurios metu analizuojamas pardavimo skatinimas, jo ypatumai el. komercijoje, pateikiamos tradicinės ir specifinės pardavimo skatinimo priemonės ir trumpai aptariami vartotojų elgsenos ypatumai el. komercijoje. Tuomet, antrojoje darbo dalyje, atliekama pardavimo skatinimo analizė, kurios metu pristatoma nagrinėjama atraskgrozi.lt interneto svetainė, pateikiama Lietuvos kosmetikos ir parfumerijos rinkos ir vartotojo profilio apžvalga, atliekamas kokybinis pardavimo skatinimo tyrimas ir apibendrinami jo rezultatai. Trečioje dalyje, remiantis tyrimo metu atskleista informacija, pateikiami pardavimo... [toliau žr. visą tekstą] / E-commerce is one of the most expanding business fields, which is characterized as the kind of business which includes the possibility of world-wide selections, intense competition and enormous consumers’ expectations that companies, which work in this business field, have to overtake and surpass. They try to offer high quality products and attract as many consumers as possible. One of the ways to achieve this goal is the sales promotion, which contains a large number of traditional and specific, suited only to the e-commerce field, measures. The purpose of this diploma paper is analyze e-business benefits for consumers, sales promotion features, execute a qualitative analysis of the experts, working in the e-commerce field and to present the list of products’ sales promotion propositions for e-commerce. The diploma paper consists of three parts. The first part is an analysis of sales promotion in the e-business, including the sales promotion features in e-commerce, the list of both traditional and specific for e-commerce sales promotion measures and a short briefing of the consumer behavior in e-commerce. Then, the second part of the paper, is talking about the situation analysis of the sales promotion and the atraskgrozi.lt internet website, which is the case of this paper, is presented. The second part also includes the reviews of Lithuanian cosmetics and perfumery market and consumer profile. After that, the qualitative research takes place and the results are... [to full text]

The masters' project is focused on the issue of working conditions in the field of graphic design and its critique. I was searching for ways how to work (economically) sustainable and how not to be dependent only on work for clients. I was developing my own projects to diversify the way I work.

In recent years, organic food sales in Sweden have experienced a decrease in sales, opening up new challenges and opportunities for various actors within the food industry. The Swedish food industry works extensively with sustainability and aims to foster a sustainable food system. Organic food is only one part of a sustainable food system and a means for actors within the industry to contribute to sustainable development since organic food slows down biodiversity loss, which is one of the United Nations Sustainable Development Goals. This can be done by actors in the industry increasing their organic sales and improving the value proposition of organic food amongst stakeholders in order to make a change and hinder a further decrease in sales. To do this, grocery retailers and supermarkets have a significant role. However, effective marketing strategies for promoting organic sales are uncommon within the industry. In light of this, this study is investigating strategies to enhance organic food's value proposition and increase sales, focusing on the perspectives of supermarket managers and grocery retailers. The theoretical lens of this study is based on theories within relationship marketing, and two specific frameworks are applied in the thesis. The research method involved a case study with an iterative research process and an exploratory purpose utilizing qualitative methods for data collection and data analysis. The findings highlight several key factors influencing organic food sales: emphasizing the importance of aligning with supermarket managers' values, setting clear targets for organic food sales, and developing marketing plans for all key stakeholders. Furthermore, this study contributes to the theory by providing novel insights into relationship marketing research. / De senaste åren har försäljningen av ekologiska livsmedel i Sverige minskat, vilket har lett till nya utmaningar och möjligheter för olika aktörer inom livsmedelsindustrin. Den svenska livsmedelsindustrin arbetar mycket med hållbarhet och strävar efter att främja ett hållbartlivsmedelssystem. Ekologiska livsmedel är bara en del av ett hållbart livsmedelssystem och ett sätt för aktörer inom branschen att bidra till hållbar utveckling eftersom ekologiska livsmedel minskar förlusten av biologisk mångfald, som är ett av FN:s hållbarhetsmål. Detta kan göras genom att aktörerna inom branschen ökar sin ekologiska försäljning och förbättrar värdeerbjudandet för ekologiska livsmedel bland intressenterna för att åstadkomma en förändring och förhindra en ytterligare minskning av försäljningen. Dagligvaruhandlare och butiker har en viktig roll i detta sammanhang. Effektiva marknadsföringsstrategier för att främja den ekologiska försäljningen är dock ovanligt inom branschen. Därför undersöker den här studien strategier för att förbättra ekologiska livsmedels värdeerbjudande och öka försäljningen, med fokus på butikschefens och dagligvaruhandelns perspektiv. Den teoretiska linsen för denna studie är baserad på teorier inom relationsmarknadsföring, och två specifika ramverk tillämpas i forskningen. Forskningen är en fallstudie med en iterativ forskningsprocess och ett explorativt syfte med kvalitativa metoder för datainsamling och analys. Resultaten framhäver flera nyckelfaktorer som påverkar försäljningen av ekologiska livsmedel: vikten av att anpassa sig till butikschefens värderingar, fastställande av tydliga mål för försäljningen av ekologiska livsmedel och utveckling av marknadsföringsplaner för alla viktiga intressenter. Dessutom bidrar denna studie till teorin genom att ge nya insikter i forskning om relationsmarknadsföring.

Storytelling is one of the most creative, powerful and effective tools of modern marketing strategies and communication. Due to the expansion of social media, storytelling has become a popular marketing and sales tool that may affect consumer behavior. This research has been conducted from a storytelling perspective with the purpose of finding the correlation between consumer reviews and consumer purchasing behavior. This study focuses on consumer stories which are reflected in terms of product reviews and ratings. Where the correlation between these reviews and ratings and their effects on overall product sales are investigated. The study answers the question, “If reviews & rating have a correlation with consumer purchasing behavior in digital marketing, and if so then how this correlation could be defined?” The data collection and tests have been conducted in a practical environment. The German online stores have been used as the main mode of data collection. Depending on the nature of the data, the quantitative analysis approach has been adopted. By conducting real-time sales data tests, this study fills the gap in previous consumer research studies. The in-depth analysis of results show the correlation between consumer reviews and product sales. The results have revealed that consumer reviews may influence overall product sales and help a consumer in purchasing decision. / Storytelling är ett av de mest kreativa, kraftfulla och effektiva redskapen i modern marknadsföring. På grund av den ökande användningen av sociala medier har storytelling blivit ett populärt redskap för att påverka konsumenternas beteende. Denna studie har utförts från perspektivet av storytelling med syftet att finna en korrelation mellan kundrecensioner och kundernas köpbeteende. Studien fokuserar på kundernas historier som reflekteras i recensioner och betyg, där korrelationen mellan recensioner och betyg och övergripande försäljning undersöks. Studien syftar till att besvara frågan ”Om recensioner & betyg har en korrelation med kundernas köpbeteende i digital marknadsföring, och om så hur kan korrelationen definieras?” Datainsamlingen och testandet har utförts i en praktisk miljö. Tyska online butiker har använts som huvudsaklig metod för datainsamling. På grund av strukturen på data har en kvantitativ analys metod använts. Genom att genomföra tester i realtid, har denna studie kompletterat tidigare forskning kring kundbeteende. Den fördjupade analysen av resultaten visar att det finns en korrelation mellan kundrecensioner och försäljning. Resultaten har visat att kundrecensioner kan påverka försäljningen av produkter och hjälpa en konsument i ett köpbeslut.

A retail enterprise is a business organisation that sells goods or services directly to consumers for personal use. Retail enterprises such as supermarkets enable customers to go around the shop picking items from the shelves and placing them into their baskets. The basket of each customer is captured into transactional systems. In this research study, retail enterprises were classified into two main categories: centralised and distributed retail enterprises. A distributed retail enterprise is one that issues the decision rights to the branches or groups nearest to the data collection, while in centralised retail enterprises the decision rights of the branches are concentrated in a single authority. It is difficult for retail enterprises to ascertain customer preferences by merely observing transactions. This has led to quantifiable losses. Although some enterprises implemented classical business models to address these challenging issues, they still lacked analytics-based marketing programs to gain competitive advantage. This research study develops an intelligent analytics-based (ARANN) model for both distributed and centralised retail enterprises in the cross-demographics of a developing country. The ARANN model is built on association rules (AR), complemented by artificial neural networks (ANN) to strengthen the results of these two individual models. The ARANN model was tested using real-life and publicly available transactional datasets for the generation of product arrangement sets. In centralised retail enterprises, the data from different branches was integrated and pre-processed to remove data impurities. The cleaned data was then fed into the ARANN model. On the other hand, in distributed retail enterprises data was collected branch per branch and cleaned. The cleaned data was fed into the ARANN model. According to experimental analytics, the ARANN model can generate improved product arrangement sets, thereby improving the confidence of retail enterprise decision-makers in competitive environments. It was also observed that the ARANN model performed faster in distributed than in centralised retail enterprises. This research is beneficial for sustainable businesses and consideration of the results is therefore recommended to retail enterprises. / Computing / M Sc. (Computing)