Anonymous transactional dataset in a local food and beverages (F&B) micro-small-medium enterprise (MSME) for recommender systems

Key Points

• Supports enhanced consumer targeting through recommender systems in food and beverages sector.
• Data analysis reveals key patterns in consumer behavior from the transactional dataset.
• Utilization involves an anonymous transactional dataset focusing on micro-small-medium enterprises.
• Findings may enable better marketing strategies, although generalizability could be limited to the dataset’s locale.