KFC Canada is Using AI Analytic Tools to Track Data Across Locations
Daniel Johnson — June 7, 2020 — Business
References: newswire & marketingdive
KFC Canada entered into a partnership with an AI analytics organization, named Manthan, which centralizes data for restaurants. The partnership allows KFC Canada to access the Analytic Solution for dashboards, as well as algorithms related to inventory, operations, e-commerce, marketing, and more.
The CFO of KFC Canada, Reza Kouhang, stated that the partnership will help the organization adjust to changes in demand, to improve different parts of the business. Due to COVID-19 changes in demand have come at a rapid pace, and the partnership is a creative solution to help address challenges.
In total KFC operates 600 stores across Canada, and the organization has been looking to move toward digital analytics for the past few years.
Image Credit: KFC Canada
The CFO of KFC Canada, Reza Kouhang, stated that the partnership will help the organization adjust to changes in demand, to improve different parts of the business. Due to COVID-19 changes in demand have come at a rapid pace, and the partnership is a creative solution to help address challenges.
In total KFC operates 600 stores across Canada, and the organization has been looking to move toward digital analytics for the past few years.
Image Credit: KFC Canada
Trend Themes
1. AI Analytics Tools - The development and use of artificial intelligence tools to improve data analytics across various industries.
2. Centralized Data Management - The consolidation of data into a centralized system to improve tracking, analysis, and decision-making.
3. Real-time Demand Management - The use of data analytics and AI tools to adjust to changes in demand in real-time.
Industry Implications
1. Quick Service Restaurants (qsrs) - QSRs can benefit from AI analytics tools for improving operational efficiency, managing inventory, and adapting to changing customer demands.
2. Retail Industry - Retailers can use AI analytics tools to optimize inventory management, track sales trends, and personalize customer experiences.
3. E-commerce - The e-commerce industry can benefit from centralized data management and real-time demand management to improve customer service and adjust to changes in consumer behavior.
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