BTF cake recommender and management system by using rulebased / Fatin Sarah Shafiqah Mohd@Mohamad and Nur Suhailayani Suhaimi

• Main Authors: Mohd@Mohamad, Fatin Sarah Shafiqah, Suhaimi, Nur Suhailayani
• Format: Book Section
• Language: English
• Published: Faculty of Computer and Mathematical Sciences 2023
• Subjects: Integer programming
• Online Access: https://ir.uitm.edu.my/id/eprint/94278/1/94278.pdf; https://ir.uitm.edu.my/id/eprint/94278/
• Institution: Universiti Teknologi Mara

The rise of online bakery management rapidly opens the opportunity for system developers to build better than just a management system. BalqistheFoodie is a homemade baker based in Bukit Siput, Segamat Johor, specializing in custom-made cakes of different sizes. BalqistheFoodie primarily receives customer orders via WhatsApp and sells products online via Instagram. The sale will be recorded in a notebook alongside the product's demand and the customer's information via WhatsApp business. The current business process has led to some problems for BalqistheFoodie, such as missing data due to manual record keeping, the owner of BTF spending time manually checking ingredients, and the lack of recommender features. This project aims to develop a web-based recommendation system that will help BTF's owner increase sales by suggesting cakes. BalqistheFoodie requires a computerized recommendation system to aid in reducing and mitigating the issues that the business has been experiencing. Rule-Based is one of the techniques used for this recommendation, which attempts to suggest the collective data of ingredients for baking a cake. Afterwards, rules were implemented based on the inventory's recommended quantity of available ingredients. This system's output is a list of products well-matched to the customer's choices. The owner of BTF can make recommendations without manually reviewing each one. Although a few limitations have been identified, the objectives have been met. As for future enhancement, including a payment gateway with multiple payment options and a feature for sales forecasting is recommended.