As a Buss Development Snr Manager, 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 Machine Learning Advertising & planning can make your business and products more popular.
For your profession as Buss Development Snr Manager 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.
e-Marketing Strategy: 7 Dimensions to Consider For Digital Growth
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.
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.
Patent - Machine Learning Advertising Marketing Strategy
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Through business relationships and experience sharing in confidential settings for Buss Development Snr Manager, we strive to create personal and business value for all our network peers.
In this article we're going to discuss the tricky aspect of marketing strategy when applying for a patent.
Getting a patent is a tricky process under normal circumstances. Under laws of the United States a company or person is entitled to a patent unless the invention was on sale in the country for more than one year prior to the application date of the patent. This applies to both sales and offers of sales. Therefore, companies conducting marketing campaigns must be careful not to destroy their patent rights. In a perfect world, application for a patent should be filed before any sales begin. But then that would hurt the company's bottom line because that ultimately puts profits on hold. In a competitive marketplace this could spell disaster for the company.
Therefore, it is important for a company to understand just what it is that starts the one year clock ticking. In other words what can they do and what can't they do in order to avoid their product being put on the timer?
In order to answer that question we have to understand what exactly, according to law, starts the clock running. There are basically two conditions. The first one is that the invention must be ready for patenting at the time of the sale. If it can be shown that the inventor had sufficient drawings that would enable another person to use the invention then this would satisfy the first criteria.
The second criteria is that there has actually been an offer for sale. In other words, the inventor or company that owns the invention approaches another company and offers to sell them the invention. This can either be in the form of a letter to the other company or in an actual physical meeting between the two companies. Usually the meeting follows a letter.
In the form of a letter the owner of the invention will usually draw up a letter stating that they have such and such an invention and go on to say that they feel this is something that would enhance their business. In the letter they would describe what the invention does and how it would help them. They would then ask the other company to get back to them if interested.
When it comes to the meeting the inventor will bring drawings of his invention and present them to the company interested in acquiring the invention. Maybe the inventor even has a working prototype he can show them. This is always a plus. Companies actually like to see that the invention they are interested in works.
Where the law comes in, and this is where inventors can delay the clock, is that the following items do not fall within the two criteria. Solicitation of customer pricing information from distributors and sales representatives; publication of preliminary data sheets and promotional information on invention features; communications to sales representatives; sales representatives providing customers with preliminary data sheets; and sales representatives' requests for customer samples.
Therefore, an inventor can engage in any of the above activities and NOT start the one year clock running. This allows the inventor to get as much preliminary leg work done for his patent without actually "technically" starting the process.
This is important information for any inventor to have if he is trying to gain as much ground in his quest for a patent as possible.
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.