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Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket

Author

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  • Muñoz-Villamizar, Andrés
  • Piatti, Matias
  • Mejía-Argueta, Christopher
  • Pirabe, Luis Felipe
  • Namdar, Jafar
  • Gomez, Juan Felipe

Abstract

In response to the escalating challenges of global inflation, particularly in developing countries like Brazil, this study combines web scraping and machine learning to analyze inflation dynamics within the retail sector. By systematically real-time pricing and product data from a sponsor company and its four main competitors, we focus on Brazil's most consumed staple foods—beans, rice, sugar, and coffee. Our analysis reveals critical insights into how inflation impacts consumer choices and supply chain operations, highlighting the effectiveness of this approach in providing strategic solutions for managing retail sectors under economic stress. The findings highlight the effectiveness of this approach in providing strategic solutions for managing retail sectors under economic stress. Notably, we observed a 400% increase in sales volume for beans following a 50% price reduction and discovered coffee's price stability as a competitive advantage. Additionally, managerial insights emphasize the importance of diversified sourcing and strategic inventory management to mitigate the adverse effects of inflation.

Suggested Citation

  • Muñoz-Villamizar, Andrés & Piatti, Matias & Mejía-Argueta, Christopher & Pirabe, Luis Felipe & Namdar, Jafar & Gomez, Juan Felipe, 2024. "Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:joreco:v:79:y:2024:i:c:s0969698924001711
    DOI: 10.1016/j.jretconser.2024.103875
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    1. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    2. Amato, Jeffery D. & Gerlach, Stefan, 2002. "Inflation targeting in emerging market and transition economies: Lessons after a decade," European Economic Review, Elsevier, vol. 46(4-5), pages 781-790, May.
    3. Mandeya Shelton M.T & Ho Sin-Yu, 2022. "Inflation, Inflation Uncertainty and the Economic Growth Nexus: A Review of the Literature," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 172-190, June.
    4. Bhattacharya, Rudrani & Jain, Richa, 2020. "Can monetary policy stabilise food inflation? Evidence from advanced and emerging economies," Economic Modelling, Elsevier, vol. 89(C), pages 122-141.
    5. Jinrong Liu & Qi Xu, 2020. "Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    6. Pardo-Jaramillo, Sergio & Muñoz-Villamizar, Andrés & Gomez-Gonzalez, Jose E., 2023. "Unveiling the influence of COVID-19 on the online retail market: A comprehensive exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    7. Sarkar, Biswajit & Seok, Hyesung & Jana, Tapas Kumar & Dey, Bikash Koli, 2023. "Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Shaoying Ma & Shuning Jiang & Meng Ling & Jian Chen & Ce Shang, 2022. "Price Promotions of E-Liquid Products Sold in Online Stores," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    9. Daraboina, Rohini & Cooper, Orrin & Amini, Mehdi, 2024. "Segmentation of organic food consumers: A revelation of purchase factors in organic food markets," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    10. Kim, Da Yeon & Kim, Sang Yong, 2022. "The impact of customer-generated evaluation information on sales in online platform-based markets," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    11. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    12. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    13. Rabson Magweva & Mabutho Sibanda & Mariam Camarero, 2020. "Inflation and infrastructure sector returns in emerging markets—panel ARDL approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1730078-173, January.
    14. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Minaei-Bidgoli, Behrouz & Abdu Zogaan, Waleed & Alhargan, Ashwaq & Mohd, Saidatulakmal & Syed Azhar, Sharifah Nurlaili Farhana & Asadi, Shahla & Samad, Sar, 2022. "Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    15. Choudary Ihtasham Ali & Sami Ullah & Umar Ijaz Ahmed & Irfan Ahmad Baig & Muhammad Arqam Iqbal & Amjad Masood, 2022. "Can Food Inflation Be Stabilized By Monetary Policy? A Quantile Regression Approach," Journal of Economic Impact, Science Impact Publishers, vol. 4(3), pages 205-212.
    16. Renger Kanani, 2019. "Dealing with quality uncertainty in the supply chains of perishable agricultural produce: consideration of buyer-supplier geographical distance and the choice of procurement channel," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 12(1), pages 55-79.
    17. Sharma, Purva & Srivastava, Ankur & Sharma, Veenu & Singh, Nidhi & Nijjer, Shivinder, 2024. "Understanding consumer repurchase intentions towards luxury retail brands: Evidence from an emerging market," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
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