Information Technology AVP New Innovations

As Information Technology AVP its very critical for you to understand developing brand strategy is extremely critical. The most important asset your company has is its brand. Quite simply, it drives the direction of your business. So you should definitely have a well thought out brand strategy in place.

Increasing competition in business develops similar products with good quality from different manufacturers. But only an effective, innovative and marketing strategy & planning can make your business and products more popular. For your profession as Information Technology AVP it becomes your responsibility to stay connected with like-minded supporting industry experts who can guide and help you deal with your day to day work issues.

Creativity And Strategic Innovation Management

Supply Chain Concept And Meeting Groups

If you are entrepreneurial in nature owning a business is very exciting adventure. It can also be the most difficult thing for you to get into if you are not prepared.

There’s been plenty of headlines about AI and machine learning being the future of retail marketing. The concept itself can seem overwhelming and out of reach for retailers. However, more marketing organizations are gearing up to add machine learning capabilities sooner than you may think. This article is all about what machine learning marketing is and how it can improve your customer experience.


What is Machine Learning?

84% of marketing organizations are implementing or expanding AI and machine learning in 2018!
If most organizations are implementing it, then what is it?  Machine learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world integrations.


There’s a lot of academic research and forums around the concept of machine learning. For merchants though, machine learning is giving customer data to computer systems so it can analyze the data and automatically learn and improve. Machine learning marketing then is using these types of technologies to provide better services and experiences to your customers. Think of products like Siri, Amazon Echo or services like Facebook’s retargeting ads. No matter how machine learning or AI is being used, it all comes down utilizing accurate customer data.


Benefits of Machine Learning for Commerce
Why are merchants using machine learning and AI? The answer is bettering customer experiences!
75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%. Customers no longer shop and buy on price and quality alone. They’re looking for intuitive customer experiences that make purchasing easy, convenient, and personalized to their needs. That’s a tall order for merchants, but machine learning marketing is a way to get there.
Here are some of the major benefits of implementing machine learning for your business that help improve the customer experience:

Real-time Marketing across Digital Platforms
Marketing is all about getting the right message to the right person at the right time. Machine learning is now making that a reality for merchants. AI systems have unparalleled level of responsivity when it comes to analyzing customer data and then delivering. For example, technology utilizes a customer’s web history to deliver fast and accurate content based on a customer’s interests.

Personalization
According to a recent reports, two-thirds of consumers are more likely to buy from a retailer that recognizes them by name, recommends options based on past purchases, OR knows their purchase history. Machine learning can handle your Big Data so you can utilize it to better know your customers. Your customers will actually feel like you know them, not just that you’re selling to them.

Service or Support
A lot of merchants struggle with providing quick and helpful customer support when something goes wrong. With machine learning, you can automate parts of your customer service to ensure quicker response times and offer 24×7 support. As an example, many companies are already using chatbots for part of the process on both their websites and mobile apps to answer easy customer questions.


Future Product Development
If you know your customers better, you also understand their needs. Customer data from machine learning is also valuable for future product development. You can identify customer needs easier and tweak or create new products that you’ll know your customers will love.

Business Development Manager Role

How Artificial Intelligence Is Taking Online Shopping Trends to New Heights

With the support of our professional business network, you get the opportunity to exchange experience and knowledge at a top professional level, and to strengthen and develop your own skills within your management and specialist areas.

Through business relationships and experience sharing in confidential settings for Information Technology AVP, we strive to create personal and business value for all our network peers.

Machine Learning Marketing Campaigns

Consumers perceive and accept many brands within a certain trade group in different ways. By personifying a brand (How would you describe brand X if it were a person?) we can find out, that for instance consumers perceive brand A as a young, impulsive, lively, attractive, energetic woman full of ideas. In the same way could brand B be an elderly, conservative and relaxed man. The brand can also have a completely inexpressive and bad image. That is how brand C may not have any real personal characteristics, slim, tall, unnoticeable and calm.

The image basically expresses a way a consumer thinks about the brand and the feelings the brand arouses when the consumer thinks about it. On the basis of these characteristics, which the consumer associates with the brand, the company can build a competitive advantage for its brand.

What sort of image should our brand have?

Before answering this question it is important to take into account several factors and market circumstances: company goals, consumer wishes and expectations, trade groups and several other groups. A company builds its brand image through trade communication with its consumers. That is how a company informs the consumer of what the brand represents, what its values are, what the company is offering or guaranteeing the consumer, what its advantages are, its qualities etc. The consumers interpret all obtained information and form a subjective perception of the brand or its image.

Why research the brand image?

Understanding a brand image is of key importance to long-term management of a brand. It is also important how the consumers formed the brand and what kind of relationship was formed with the brand - what the brand means to them and how they have accepted it. Understanding the relationship between consumers and brands can help a company control its successful brand positioning and the efficiency of advertising.

How do we research the image?

The brand image is formed in the long-term and represents a non-conscious and "untouchable" area, which needs to be researched using projective researching methods that help the consumer to overcome certain obstacles and limitations as well helping him to be inspired in the world of brand names. The consumer does therefore not only focus on the brand, but mainly on his experience with it and on its usual users. He focuses on the opportunities, which are most suitable for the specific brand and what sort of image the brand presents etc.

We are able to research and describe the brand from various perspectives. We obtain many different associations, ideas, benefits and people whom the consumer in some way connects to brands, which need to be suitably and correctly interpreted. It is important to define the key characteristics and values, which are connected to a specific brand by the consumer. Relevant findings show results of long-term management of a brand and represent key dimensions on which the competitive advantage of a brand is based.

Networking has always been considered a powerful tool for improving business prospects, advancing a career, and developing ideas. Other than some brief, structured events, networking has been mostly informal and inexpensive in comparison to cost they otherwise spend on different channels. But membership is growing in many formal, long-term networking groups, and so is the price tag.

Our groups are not groups for generating sales leads, nor are they places where individuals can drop-in to gain quick advice on an immediate challenge.  Members also sign a confidentiality agreement and benefits from the guided mentoring to help each other.

These groups include an experienced facilitator and use a structured discussion method to ensure appropriate participation.