A freight consortium made up of J.B. Hunt, Uber Freight and Convoy is looking to create an industry standard for using application programming interface (API) connections to share data among partners in order to solve freight scheduling challenges, initially addressing full truckload (TL).
Taking full advantage of big data insights will enable retailers to make quick, informed decisions vs. relying on traditional analytics. They can better understand their customers, track their behaviors, and understand purchase patterns and frequency, in order to market the right products in the right places at the right time.
The quest for customer data is expensive and filled with frustration. How many brands are truly ready to invest in wild new experiments like those at McKinsey’s store at the Mall of America to collect more customer data when they can’t even access what they already have? A smart data approach may be the answer to this dilemma.
In 2019, it’s no longer possible to deny the coming of data-driven disruption, which has touched industries from video gaming to grocery stores. Here is how companies can effectively use data to enhance the customer experience.
Converting a one-time buyer into a repeat customer is the single most effective way for many businesses to grow, and one of the best ways to do this is by offering a personalized customer experience. Here are various types of data you can use to personalize your marketing efforts.
Shopping shouldn’t feel like a chore. It should be fun and convenient, delighting the customer at every turn. The next generation of AI will anticipate your needs before you do. Here is how AI and mobile fit into your ecommerce strategy.
Instead of fighting rising online sales, retailers should embrace digital to drive more sales in-store. By creating a true omnichannel approach, retailers can better serve customers, open avenues for more transactions and increase overall sales. Here are ways retailers can develop a deeper connection with customers.
Data has been a challenge for and leveraging it to its full potential continues to have retailers scratching their heads. However with the dawn of AI all of that could change. Here is how AI could change how retailers look at data and change the customer experience.
What do Amazon, Netflix and Tesla have in common? They’re all data-driven companies that rely heavily on analytics. Here are several business models are working data differently.
With the booming popularity of IoT devices, marketers might feel overwhelmed when it comes to tapping into the potential of all that customer data. Here is how retailers can make better use of the wealth of data to enhance the customer journey.