Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services

An enormous global food firm is growing quickly and getting ready to move to a new location, but it needs more software infrastructure and antiquated technologies, which present serious problems. This paper suggests a thorough digital transformation plan to overcome these obstacles and facilitate th...

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Main Authors: Innocent Mafiele, Rustam Nigmatullin, Farzaneh Tajikfilestan, Gaurav Pawar, Anu Chawla
Format: Article
Language:English
Published: IJMADA 2024-10-01
Series:International Journal of Management and Data Analytics
Subjects:
Online Access:https://ijmada.com/index.php/ijmada/article/view/62
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author Innocent Mafiele
Rustam Nigmatullin
Farzaneh Tajikfilestan
Gaurav Pawar
Anu Chawla
author_facet Innocent Mafiele
Rustam Nigmatullin
Farzaneh Tajikfilestan
Gaurav Pawar
Anu Chawla
author_sort Innocent Mafiele
collection DOAJ
description An enormous global food firm is growing quickly and getting ready to move to a new location, but it needs more software infrastructure and antiquated technologies, which present serious problems. This paper suggests a thorough digital transformation plan to overcome these obstacles and facilitate the company's growth. The concept is centred on deploying the AI-driven Predictive Analytics Network (APAN), a technological solution intended to boost productivity overall, streamline workflows, and improve the efficiency of food delivery. APAN seeks to solve inefficiencies from the company's expanded scale and staff by automating repetitive tasks and optimizing essential business processes. The company's technological infrastructure will be modernized, employee collaboration and communication will increase, customer service will be improved, and operating expenses will be decreased with the proposed digital transformation. This idea is valuable since it can help the business expand, enhance customer satisfaction, and guarantee more economical and efficient operations. Employees, clients, and business partners will all profit from this change, which will ultimately create an organizational culture that is more creative and effective.
format Article
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institution Kabale University
issn 2816-9395
language English
publishDate 2024-10-01
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series International Journal of Management and Data Analytics
spelling doaj-art-785a888eb27048a49dba7a6f31bb5b222025-01-20T15:45:31ZengIJMADAInternational Journal of Management and Data Analytics2816-93952024-10-0141556662Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering ServicesInnocent Mafiele0Rustam Nigmatullin1Farzaneh Tajikfilestan2Gaurav Pawar3Anu Chawla4University Canada WestUniversity Canada WestUniversity Canada WestUniversity Canada WestUniversity Canada WestAn enormous global food firm is growing quickly and getting ready to move to a new location, but it needs more software infrastructure and antiquated technologies, which present serious problems. This paper suggests a thorough digital transformation plan to overcome these obstacles and facilitate the company's growth. The concept is centred on deploying the AI-driven Predictive Analytics Network (APAN), a technological solution intended to boost productivity overall, streamline workflows, and improve the efficiency of food delivery. APAN seeks to solve inefficiencies from the company's expanded scale and staff by automating repetitive tasks and optimizing essential business processes. The company's technological infrastructure will be modernized, employee collaboration and communication will increase, customer service will be improved, and operating expenses will be decreased with the proposed digital transformation. This idea is valuable since it can help the business expand, enhance customer satisfaction, and guarantee more economical and efficient operations. Employees, clients, and business partners will all profit from this change, which will ultimately create an organizational culture that is more creative and effective.https://ijmada.com/index.php/ijmada/article/view/62ai predictive analysis networkautomated processdigital transformationcybersecuritytechnology acceptance model
spellingShingle Innocent Mafiele
Rustam Nigmatullin
Farzaneh Tajikfilestan
Gaurav Pawar
Anu Chawla
Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
International Journal of Management and Data Analytics
ai predictive analysis network
automated process
digital transformation
cybersecurity
technology acceptance model
title Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
title_full Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
title_fullStr Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
title_full_unstemmed Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
title_short Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services
title_sort digital transformation improving operation efficiencies through ai predictive analysis network at a vancouver catering services
topic ai predictive analysis network
automated process
digital transformation
cybersecurity
technology acceptance model
url https://ijmada.com/index.php/ijmada/article/view/62
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