News and Analysis
AI and the Drive-Thru
The drive-thru was an innovation when it first appeared in 1921 at a place called The Pig Stand. Fast-forward to 1947, when the two-way speaker box debuted at In-N Out Burger. Car culture has always been popular in the U.S., and the pandemic accelerated the desire for consumers to stay in their cars while picking […]
Peak-a-Boo: Retail Apps See You
Do branded apps usage peak, after holidays, tentpole events, or other special occasions, for you? Airship, which helps brands optimize their mobile app experiences for customers, released research this month that shows the struggle is real for retailers trying to capture and sustain long-term value from app downloads during “peak” times of the year. Airship […]
This Brand Isn’t Snoozing on Earth Day
Snooze A.M. Eatery is a Colorado-based breakfast brand with 71 locations. Founded in 2006, they have long been committed to sustainable practices and community involvement. This year, they will continue their traditions around Earth Day (April 22nd) but reinforce their belief that every day should be an earth-friendly moment. Although many brands view sustainability as […]
Commentary
Could Delivery Service Partners Offer Restaurants More Than a Lifeline?
Data and AI enabled the digitization of advertising a decade ago. Now, those same forces that drove innovation and transformation in advertising are changing the dynamics between restaurants and delivery service partners. DSPs are becoming more than a lifeline. They’re helping fundamentally change how restaurants and the industry operate while also helping to create the omnichannel restaurant business of the future.
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Chatbots Get Faster and Supply Helpful Data
Deploying chatbots effectively will require smarter, faster-learning chatbots. And that’s what Botco.ai is bringing to market with Instachat Builder, “a new product that accelerates AI chat deployment by allowing Botco.ai customers to directly train Botco.ai’s chatbot on any type of text information.”
Retailers Turn to AI to Combat Burnout, Decrease Merchandiser Workloads
As retailers look at getting more done and freeing up their staff to focus on high-value tasks, interest is growing in the use of AI to handle the mundane tasks that take up too much of a merchandiser’s time — like fixing typos on e-commerce websites and researching underperforming product categories. Retailers are also using AI to flag when new products show signs of being more popular than expected, so merchandisers can act quickly and notch strategic wins.
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