Retail supply chains have grown more and more complex, and companies must have end-to-end supply chain visibility to prepare for unexpected changes in demand. As such, retailers should explore practical, relevant ways to predict demand, while continuing to deliver quality, omni-channel consumer experiences.
The key to maximizing the customer experience, and by extension revenue, hinges on delivering contextual and relevant communications through real time customer engagement. But for many retailers, this means engaging with tens of thousands of customers making online purchases via laptops, desktop and mobile devices, as well as in-store shoppers.
Consider the number of flights you’ve taken this year. Whether booking a last-minute business trip, or planning a family holiday, we’ve all spent time searching for the best flight price in this highly competitive and dynamic marketplace.
The Importance of AI & Advanced Analytics for Quick Service Restaurants
on November 19, 2018
| By Antuit Insights
|
Demand Analytics
Today’s consumers demand speed, convenience and value, and QSRs looking to attract customers are increasingly using technology to do so. Technology affords new and innovative advancements, both customer-facing and for backend services.
Are you drowning in data? Do you feel overwhelmed – or underwhelmed – by the slew of options that claim to deal with your data problems? Particularly, in the area of pricing? It's the Era of Big Data, and many retailers are finding relief in new technologies like event stream processing or Hadoop.
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