How menu engineering can push up a restaurant’s profits

In the first part of this blog post, we had read about how data analytics is being used by restaurants and fast food chains in customer segmentation. Today, we will look at how analysis helps to build, or rather, re-build a restaurant’s menu. That’s right. Analytics can play a big role in not only determining a menu but also working “behind the scenes” and improving kitchen efficiency. One of the oft-quoted examples

Data analytics enriches a customer’s gastronomical experience

Big Data and its analysis has come as a disruptor for the food industry, more so for restaurants. There was a time when restaurants were largely run on the gut feelings of a manager or the whims and fancies of the owner. Those days are fading away. Restaurants now have a new “help” - data analytics - to get a leg up over competition, as well as to grow, leveraging on

Chatbots and customer analytics

As we did read in the first part of this blog post, the chatbot space is relatively new. Not all bots are equal, and not many are configured around Artificial Intelligence (AI) yet. But that’s gonna change real quick. Remember, bots are built with a purpose. For now, there are two types of chatbots out there – one built with limited programming for a limited purpose, and the other with AI,

Using chatbots to really understand your customer

It’s now clear that chatbots are not just a passing ship in the night. Over 2.5 billion people worldwide use messaging platforms like WhatsApp, Facebook Messenger, or Telegram, all of which are chatbot centric. Twitter, for example, introduced a bot-like feature within its Direct Messaging service to enable brands to interact more frequently with customers. Thus, bots are here to stay, but the question that businesses must address today is –

How Artificial Intelligence has influenced e-commerce – the customer’s story

In the first part of this blog, we looked at how Artificial Intelligence (AI) has changed the supplier side of the retail eco-system, especially on two fronts - Price and Product Offering. In this post, we shall analyze how it has affected the buyer's journey at almost every step of the way. As most of you will know, a buyer's journey starts from the awareness stage, where he comes to learn

How Artificial Intelligence has influenced e-commerce – the retailer’s story

Artificial Intelligence

Never before have customers been more in control of the retail trade than today. But are they really? Or has the retailer wrested control of the exchange? Let's revisit this in the light of new technologies and sensors deployed in this "game". In the sixties through the eighties, Sears, Walmart and K-mart kind of super stores aggregated purchase information to decide what to buy and stock their shelves. Improving the scale

Are you an omnichannel retailer? Here’s how you can find out

Do you meet Express Analytics' criteria for being an omnichannel retailer? Read on... and don't forget to take the test. How do you know whether your business has the potential to play with the big boys? Take our test: Can your customers buy online and pick up in store? When your business has a brick and mortar storefront, one of the greatest issues is getting people to come to the store as

Artificial intelligence is changing the face of online shopping

Artificial Intelligence (AI) is changing the way you shop online. Specifically, it’s driving a change in two areas – search and customer service. Advancements in AI like deep learning and machine leaning combined with the rise in mobile commerce are now being put to use by retailers and e-commerce sites such as Amazon to improve the lives of online consumers. Both are software that learn to perform complex tasks without active

Top
Sign up for our Blog!

Enter your email and stay on top of things,

Subscribe!