title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð°ÑÑÑÑÑÐ¾Ð² Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð² Ð¸ Ð³Ð¾ÑÐ¾Ð²ÑÑ Ð±Ð»ÑÐ´
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Automating the construction of delivery routes based on machine learning in a food and ready meals delivery company
Creators: name: ÐÐ°Ð»Ð¸Ð½Ð¸Ð½Ð°, ÐÐºÐ°ÑÐµÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð°ÑÑÑÑÑÐ¾Ð² Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸
Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ðµ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
Ð´Ð¾ÑÑÐ°Ð²ÐºÐ° Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð² Ð¸ Ð³Ð¾ÑÐ¾Ð²ÑÑ Ð±Ð»ÑÐ´
ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
machine learning
automation of delivery routes
implementation of a machine learning platform
delivery of food and ready meals
economic analysis

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð°ÑÑÑÑÑÐ¾Ð² Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð² Ð¸ Ð³Ð¾ÑÐ¾Ð²ÑÑ Ð±Ð»ÑÐ´. ÐÐ°Ð´Ð°ÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ: - ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ½Ð´ÐµÐ½ÑÐ¸Ð¹ Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð². - Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð¸Ðµ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð¿Ð¾ Ð´Ð¾ÑÑÐ°Ð²ÐºÐµ Ð³Ð¾ÑÐ¾Ð²ÑÑ Ð±Ð»ÑÐ´, Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼ ÑÑÑÐµÑÑÐ²ÑÑÑÐµÐ³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ°. - ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ° AS-IS Ð¸ TO BE. - ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ð¹ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ°. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÑÐ»Ð¾ÑÑ Ð½Ð° Ð±Ð°Ð·Ðµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð¿ÑÐ¾Ð´ÑÐºÑÐ¾Ð² Ð¿Ð¸ÑÐ°Ð½Ð¸Ñ Ð¸ ÑÐ¾Ð²Ð°ÑÐ¾Ð² Ð´Ð»Ñ Ð´Ð¾Ð¼Ð° Â«Ð¡Ð°Ð¼Ð¾ÐºÐ°ÑÂ». ÐÐµÑÐ¾Ð´Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: ÑÐ±Ð¾Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ, Ð´Ð¸Ð°Ð³ÑÐ°Ð¼Ð¼Ð° ÐÐ°Ð½ÑÐ°, Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð², ÑÐ±Ð¾Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ð¹, Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² Ð¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸ AS-IS Ð¸ TO BE, Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸ÑÐºÐ¾Ð², Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð². ÐÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ°Ð±Ð¾ÑÑ: 1. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ñ, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ ÑÐµÐ½Ð´ÐµÐ½ÑÐ¸Ð¸ Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð². 2. Ð¡Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ AS-IS Ð¸ TO BE, ÑÐ°ÐºÐ¶Ðµ ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¿ÑÐ¾ÑÐµÑÑÑ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ ÑÐ¾Ð²Ð°ÑÐ¾Ð². 3. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸ÑÐºÐ¾Ð² Ð¸ Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð². ÐÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ Ð·Ð½Ð°ÑÐ¸Ð¼Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÐµÑÑÑ Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÑÑ ÐµÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸, Ð° Ð¸Ð¼ÐµÐ½Ð½Ð¾: ÐºÐ°ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐµ Ð¸ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐµ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð°ÑÑÑÑÑÐ¾Ð² Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸. ÐÑÐ²Ð¾Ð´Ñ. ÐÐ°Ð´Ð°ÑÐ¸ ÐÐÐ  ÑÐµÑÐµÐ½Ñ, ÑÐµÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð³Ð½ÑÑÐ°, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð° Ð¾Ð±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð².
description: The purpose of the research is to automate the construction of delivery routes based on machine learning in a food and ready meals delivery company. Tasks of the work: - Research of machine learning, analysis of trends in process automation. - Review of the companys activities for the delivery of ready meals, identification of problems of the existing process. - Modeling of the AS-IS and TO BE process. - Conducting an assessment of the economic efficiency of the project. The research was carried out on the basis of the food and household goods delivery company Â«SamokatÂ». Research methods: data collection and analysis, Gantt chart, process modeling, requirements collection, process modeling and AS-IS and TO BE models, risk analysis, project effectiveness assessment. The main results of the study: 1. Research has been conducted on the introduction of machine learning into the company, trends in process automation have been identified. 2. The architectural model of AS-IS and TO BE is modeled, the processes of goods delivery are also modeled. 3. Risk analysis and evaluation of the effectiveness of projects were carried out. The practical significance of the work is determined to the practical necessity of its results for the company, namely: qualitative and quantitative changes in the implementation of machine learning to automate the construction of delivery routes. Conclusions. The tasks of the GQP have been solved, the goal has been achieved, the scope of application of the results has been determined.