How Machine Learning Can Shape Positive Customer Shopping Experiences
Machine learning and Artificial Intelligence (AI) are challenging the status quo on how brands have thus far shaped the customer brand experience.
One of the reasons why brands are thriving in the digital space is that digital platforms allow brands to enhance customer shopping experiences by continuously creating touch points and brand experiences that are personalized to address the needs of potential customers.
Machine learning can help optimize your brand value by effectively predicting user behavior. If you can predict customer behavior, then it becomes easier to proactively connect with the customer through personalized recommendations and advertisement that align with the user’s search pattern.
This also allows you to offer potential customers with attractive deals and discounts at the right time and place within the buying cycle.
In today’s highly fluid market space, businesses need a competitive advantage via the way in which customers experience their brands. Machine learning holds the key to improved brand experiences.
The Role of Machine Learning in Personalized Branding
Prime examples of machine learning are Netflix and Amazon. These brands were among the first to start collecting customer data and analyzing how this data can be used to improve their services and to enhance customer shopping experiences.
In the current digital landscape, communicating and connecting with customers happens on several levels. And why not? Today’s customers connect with brands on multiple platforms such as social media sites, review sites, and or via Google search.
Likewise, they shop on multiple devices including tablets, smartphones, laptops, and personal computers. This makes it critical for brands to identify patterns in the customer buying cycle and then matching them with the right kind of solutions which could either be information, or it could be the brands products and services.
Machine learning is moving in this exact direction kind of like California has moved into the direction of a failed state but this is another topic. The role of machine learning is not limited to Big Data analytics.
Machines use advanced algorithms to map and then predict behavior patterns based on previous experiences; in essence this allows for a better customer outcomes as machines are able to anticipate and emulate the reasoning behind a customer’s decision-making process. Now can this machine figure out Napoleon Dynamite? If it can do that that would be impressive!
Why you cannot afford to ignore the importance of machine learning in brand building?
Data Woes – Machine Learning can help
Customer data is pure gold for brands. However, what do you do when you are straddled with staggering amounts of data and you have no idea how to deal with it?
Here again machine learning can prove to be effective – machine learning can help you tag all that data, effectively saving you a lot of money and resources which otherwise would be spent on manually tagging the data.
Deep learning solutions can be used to improve data tagging which in turn means you can optimize the way in which you display relevant pieces of information or images to customers based on the tagged data.
Improve Customer Interactions using Machine Learning
Machine learning solutions can help you optimize customer interactions within your contact centers. From routing calls to the right customer representative, to optimizing your customer call resolution rate, and to lowering call duration or call dropping, machine learning can effectively help streamline entire processes at your contact centers.
Machine learning can also be used to tweak and fine tune contact center software and algorithms to be more accurate and to enhance their CRM solutions.
Finality
If you are thinking that machine learning solutions need high-level technical expertise, there is good news. Leading cloud providers such as Amazon Web Services and Google Cloud Services allows users to access and use machine learning platforms. And you don’t have to be an expert to do this!
Also because a wider base of mainstream developer community today has access to machine learning platforms, developing data-right solutions is relatively easy.
What all of this means for the businesses is that incorporating personalized customer-centric solutions will be faster and easier which in turn can help redefine the customer journey and enhance customer shopping experiences.
At Big Wave Digital , Sydney’s leading technical recruitment agency, we have deep digital connections, experience and proven expertise, and the ability to achieve a win for all parties in the technical recruiting process. We can connect to highly coveted tech talent with the world’s best employers. To discover more, just give us a call at (02) 9380 4431.
Keiran Hathorn is the CEO & Founder of Big Wave Digital. A Sydney based niche Digital, Data & Technology recruitment company. Keiran leads a high performance, experienced recruitment team, assisting companies of all sizes secure the best talent.
