As a Sales And Marketing MD City Hall, 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 Strategic Planning & planning can make your business and products more popular.
For your profession as Sales And Marketing MD City Hall 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.
A Comparative Marketing Strategy Analysis Between Starbucks and Caffe Nero
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.
To keep ahead in a fast-moving industry, leading Asia-Pacific fashion retailer Bossini needed to have better visibility into its business and operational processes through the synchronization of real-time data across multiple orders, shipments and stock-keeping units.
By leveraging the Enterprise Service Bus (ESB), Bossini is able to speed up the deployment of new applications and processes and bring new partners on board much more quickly.
The intuitive development environment of the webMethods ESB has enabled Bossini's programmers to easily, and quickly, build the large number of interfaces required to meet its complex integration requirements.
Upon transforming to a Service Oriented Architecture (SOA), Bossini could synchronize real-time data from multiple orders, shipments and stock-keeping units (SKUs) across its Point-of-Sale (POS) systems and Warehouse Management System (WMS) inventory.
• Better visibility into real-time processes with dynamic synchronization of data between point of sale and warehouse management systems
• Additional business capabilities, e.g. late shipment and sales performance monitoring via dashboards/SMS and stock-on-hand monitoring for all markets.
• Factory order allocation reduced from three days to one
• Finance month-end closing slashed from 25 days to seven
• Developer and IT productivity increased by up to 30 percent through user-friendly intuitive interface and re-use of programming objects from the webMethods ESB.
A standards-based solution
With the webMethods Enterprise Service Bus, Bossini is able to take full advantage of the standards-based interfaces to integrate with their existing systems and utilize service orchestration to connect their existing systems to their processes. This allows Bossini to speed up the deployment of new applications and processes and bring new partners on board much more quickly.
Subsequent changes are also easier to implement, and the company enjoys cost savings resulting from the re-use of the service components. "The webMethods ESB enables us to achieve real-time interoperability across numerous disparate applications, including independence from the constraints of their operating systems and hardware platforms," said Mr. Andrew Ling, Director of IT and Supply Chain of the Bossini Group.
Of equal importance is the platform's flexibility and ease of use. "This was crucial in our ability to gain competitive advantage in the fickle world of apparel retailing," said Ling. "In our decision, we also took into account the faster adoption, lower training costs and quicker return-on-investment enabled by the very intuitive design of the webMethods ESB."
Marketing Strategy: 7 Steps to Market Segmentation
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Through business relationships and experience sharing in confidential settings for Sales And Marketing MD City Hall, 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.