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        <identifier>oai:figshare.com:article/33772417</identifier>
        <datestamp>2026-09-15T07:38:38Z</datestamp>
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          <dc:title>Online food purchase intention/behavior</dc:title>
          <dc:creator>Kaniz Fatima (24913162)</dc:creator>
          <dc:subject>Consumer behaviour</dc:subject>
          <dc:subject>Consumer-oriented product or service development</dc:subject>
          <dc:subject>Online food purchase</dc:subject>
          <dc:subject>Ready-to-eat food</dc:subject>
          <dc:subject>purchase intention.</dc:subject>
          <dc:subject>Purchase behaviour</dc:subject>
          <dc:subject>AI-based prediction models</dc:subject>
          <dc:subject>Machine Learning Based Algorithms</dc:subject>
          <dc:subject>Prediction accuracy</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset helps design a machine learning-based algorithm to predict online purchase behavior for ready-to-eat food among Dhaka city dwellers using demographics as a feature set. As the capital of Bangladesh, this city has seen rapid growth in the online food delivery industry in recent years. The data has been collected through online and offline surveys. Most respondents said they purchase food online. Their demographic information was also collected: age, gender, education level, occupation, and income. This data can be used for data analytics, machine learning-based algorithm development, AI-assisted predictive modeling, and data augmentation techniques.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-15T07:38:38Z</dc:date>
          <dc:type>Dataset</dc:type>
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          <dc:identifier>10.6084/m9.figshare.33772417.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Online_food_purchase_intention_behavior/33772417</dc:relation>
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