combogenius 0.2.0

A package designed to efficiently generate new product combinations using check information, and deliver combo suggestions to business partners via email.

ComboGenius

Problem

Many restaurants and food courts face challenges when it comes to expanding their corporate lunch service market through B2B websites. Despite offering great value and quality products, these businesses struggle with visibility among potential clients. The main issue lies in the lack of effective engagement strategies, making it difficult to showcase their benefits and attract new customers.

Solution

To address this problem, a data-driven approach can be implemented across various restaurant and food court businesses. This approach involves two key strategies: enhancing product offerings by analyzing sales data and optimizing communication through targeted email interactions. Specific actions include gathering data on potential clients, analyzing customer preferences to develop appealing combos, and refining marketing communications to increase engagement rates.

Expected Outcomes

Implementing these methods is expected to lead to increased corporate collaborations and improved interaction with potential B2B clients. Restaurants and food courts can anticipate greater customer satisfaction and higher conversion rates by customizing offerings and messaging based on data-driven insights. Moreover, these strategies can be applied beyond individual businesses, offering opportunities for improvement across the restaurant industry through metrics such as email campaign response rates and A/B testing results.

Package Documentation

https://araratkazarian1.github.io/Marketing_Analytics_Project_Group5/

API Endpoints

Endpoint to check if the FastAPI server is running - http://127.0.0.1:5000/
Endpoint to send an email to the specified recipient - http://127.0.0.1:5000/send_email/?recipient=ararat_kazarian%40edu.aua.am&subject=New%20Combo&discount=20
Endpoint to mark an email in the database as interested - http://127.0.0.1:5000/mark_interested/ararat_kazarian%40edu.aua.am

PyPi Link

https://pypi.org/project/combogenius/