KG-food | 1

KG-food is a Python library. KG-food has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However KG-food build file is not available. You can download it from GitHub.

1. Problem: Restaurants want to generate more revenue with a bigger order size and more frequent repeated orders either through dine in or online ordering. 2. Problem: Diners want to discover new dishes that suits their taste in existing brands or know what to order in new restaurant establishments. 3. Problem: During the covid 19, restaurant wants to switch to contactless menu to protect their customers and employees. 4. Solution: We provide personalised digital menu based on diner profiles that restaurants can use in-store or online. 5. How we do it: We recommend complementary dishes to diners based on user-item collaborative filtering.We recommend similar taste profile dishes based on graph association. 6. We can also do cross restaurants recommendations so that complementary stores can increase revenue together. 7. Competitors: a. Marketplaces like Grab Food and FoodPanda - their goal is to sell food to diners at the expense of restaurants by promoting those restaurants who can give them the biggest revenue. Most often, restaurants are making a lose in every order that goes through marketplace and their also do not know who their customers are as customers are wall fenced by these marketplaces b. Ecommerce such as Oddle and TabSquare - they often do not provide recommendations out-of-the box. Foods are curated by restaurants c. Speciality recommendation platform like Optimizely and DynamicYield - Their recommendation engine requires high degree of setup and their costing are out of reach for regular restaurants.