eCommerce

eCommerce – The Choice Between Hosted and Custom Solutions

One question, two possible answers, the everlasting dilemma. Why is it so hard to choose the one among only two options? Both hosted and custom eCommerce solutions have their pros and cons. And explaining them requires answering some questions. So, let’s first start with asking:

What is the size of your business?
What is your budget for investing in the development of your online store?
How many different products you want to sell in your online store?
How many people work for your company, to support the online sales process?
How complex your online store will be, and do you have specific requirements for customized options and features?
Do you implement an omnichannel approach with different locations and complex inventory?
How skilled are you, in the means of web design and web programming?

eCommerce - Custom vs Hosted Solutions

Of course, there can be a lot more questions to prepare you for thinking about your business in a way that will lead you to the right decision, and smart choice of the ideal eCommerce platform.

Let’s now try to answer these questions, and try to suggest the right choice in different situations...

How to Improve Sales Forecasting in eCommerce with Predictive Analytics?

With Predictive Analytics you can easily identify customer needs, and improve your products and services according to them. Such improved product portfolio will be a strong base for making a chain of continuous offers targeted to existing customers. Making a connection between the product and the customer, and vice versa, enables advanced forecasts about which products are suitable for certain customers, and which customers are likely to purchase which products. This leads to identifying the best product to recommend to each client and track the path of purchase.

Sales Forecasting Improved by Predictive Analytics

How to Achieve Optimal Inventory Management of Your Online Store?

Smart inventory management is one of the key aspects of running a successful online sales business, especially with omnichannel approach, which provides extraordinary customer experience. Optimal stock levels are the goal. And, once the goal is defined, let's see how to achieve it.

Predictive Analytics employs the power of data, transforms them into useful information, and gives clear predictions and suggestions on how to achieve the ideal stock level of each product. Time is the most expensive, and critical resource, and Predictive Analytics is the master in serving the right information just in time when we need them...

Optimal inventory management with Predictive Analytics in mCommerce

Modern B2B Supplier Approach and Customer Experience

In the previous article What Do B2B Buyers Expect from Their Suppliers, we have explained the change that happened, and is still happening to B2B buyers, and how B2C approach influences them. Now, we want to focus on the behavior of modern B2B buyers, and their experience, which impacts the way their suppliers approach the process of B2B selling.

Business Intelligence upgraded into Predictive Analytics gives us high quality inputs, just in time when we need them, so we can make fast, yet smart decisions about improving the experience of our B2B buyers. It answers some key questions raised by every company in B2B business:

What kind of buying experience the modern B2B buyers expect from their suppliers?
Why is it necessary to optimize your B2B portal for all devices, especially mobile?

Here are the essentials every online marketer should understand...

How to Apply Predictive Analytics in eCommerce?

Predictive Analytics uses BI data for forecasting and modeling. It uses Predictive Analysis to predict future patterns, and support managers in making better business decisions. With this advanced decision support system, managers evaluate the probability of future events, based on events from the past. Predictive Analytics incorporates advanced algorithms (statistical, data mining, machine learning) capable of revealing patterns beyond the power of traditional BI (Business Intelligence) tools.

Applied to eCommerce, this means collecting relevant information and employing the powerful algorithms of Predictive Analytics to help Sales Managers target the right customers, ones who are likely to respond positively, with products or services they are likely to enjoy, and at the time they are likely to buy.

Predictive Analytics Advanced Dashboard for eCommerce

How To Calculate ROI for Mobile Stores?

It is well known that in today’s overcrowded global market, the biggest challenge is to sell your product or service. Many people are capable of producing fine products, but not all of them are good at selling them successfully. And that is the key to a successful business. The evolution of sales started centuries ago, but real diversification of sales channels exploded during the 20th century. From traditional retail sales, over direct sales, B2C and B2B sales, telesales, marketers have been struggling to find the best way to acquire customers for their products or services. Internet brought new opportunities and dramatic changes for the world of sales. That’s how we got eCommerce. But what is the next step that perfectly follows and undergoes the habits of modern humans from 21st century? Yes, you’re right. It is Mobile Commerce, which in fact is, Online Commerce optimized for mobile devices.

eCommerce Technology Distribution in Canada