As a 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 Digital 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.
3 Surprising Ways Artificial Intelligence Can Push Marketing and Advertising to the Next Level
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.
Even some 15 or 20 years ago, either in theoretical approach on Universities or practical in the Business, the term Distribution was commonly used for the service within the company that was in charged for moving the goods around, according the needs of sales and customers.
Since Warehousing was separate segment at that time, as a different function within company, the link between Distribution and Warehouse was loosed. It was working, but as the demand of the market was growing, these two functions finally merged into Logistic. Still there were warehouse and trucks, but the border was more transparent, links stronger, some assets shared, cost reduced, service to market better. It was a step in the evolution.
Finally, the next step was integration of Logistics ( Distribution and Warehouse ) with Production and Purchasing into single function - The Supply Chain. Now, under the same roof, all functions that were separate not that long time ago, are now aligned in the sequence.
This new concept of whole Supply Chain was providing the Company to be more agile. Agility is something that companies needed in the time of more and more demanding market, growing competition and expansion of range of categories and products. Simply, the market is becoming more volatile and less predictable.
Also, the modern Supply Chain needs to be more "Lean". This mean that it should not have more stock than needed, asset that could unnecessary slow down response time and increase costs.
So, the Lean and Agile are two key characteristics of a contemporary Supply Chain that is capable to offer sufficient service level for the growing demand.
The ratio between Lean and Agile should be well balanced. The key to this fine-tuning is the right approach to the product portfolio. As there are different products in the portfolio, contributing to the share in sales in different percentage, they should be treated accordingly.
This can be explained through Pareto principle, which says that 20% of the SKUs are 80% of sales share. Since these products are high volume, low variety and predictable, planning of production and stock should be more Lean. This mean no large stocks, focus on efficiency and economy of scale.
On the other end of Pareto principle scale are products that represent 80% of SKUs, but only 20% of sales share. These products are less predictable, so the planning should be more Agile.
The Scope of Artificial Intelligence In Web Development Explored
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.
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.
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.