Category Archives: Electronic Commerce

Supply Chain Mayhem – Avoid It

It’s hard to believe that the Holiday season is near – or that for those participating in retail, the season is already well underway. Is it too late to think about making this season better? If you haven’t already made the infrastructure and system changes you’ve been contemplating this year then the answer is likely to be Yes! But there may still be a few things you can do at this late date.

Be Mobile Ready

Get Your Visibility Nailed

Get Ready To Be The Best

Read more: http://ec-bp.com/index.php/articles/editors-blog/11789-supply-chain-mayhem-avoid-it#ixzz4PnQvO3X2

It’s Integration Time!

The benefits of automating orders, invoices, and ASNs between your company and its customers are well known. Integrated documents are faster, less prone to error, and improve workflow among your people and systems. At this point, it would be rare to find a major retailer or manufacturer who isn’t using electronic documents to run their businesses. Not so rare, though, are small and medium sized businesses (SMB) still pushing paper. It’s about time for SMBs to make their move, isn’t it?

A few years back, automating electronic documents for a ‘newbie’ was a long and expensive proposition. You needed to buy equipment and software, plus you had to train an employee (or hire one) to establish and maintain connections. That was just to get up and running. Integrating documents into and out of your existing systems, ERP, WMS, CRM, and so on, was something with which the IT staff had to be involved. Then, once up and running, somebody had to monitor the operation and handle exceptions. You know what? Those days are over. Options abound, mostly due to the growth and proven effectiveness of cloud-based technology.

When you look at it, the return on investment in the ‘old days’ maybe wasn’t there. You may have had a major partner, a hub, try to force the issue, but you’d been successful in leveraging your relationship to postpone your deadlines time after time. However, the clock was ticking and eventually your time will expire.

Read more: http://ec-bp.com/index.php/articles/industry-updates/11772-it-s-integration-time#ixzz4OvDcojYX

Custom Delivery At Scale

When is a commodity not a commodity? When each individual item is made to order. Not just made for the P.O. but to the specifics of the customer’s requests. With traditional supply chain practices it’s easy enough to get the order right for the specified number of items in the package. But when that package count is 1, there is literally no margin for error.

And when the delivery is made through any of a variety of channels the process of making custom products can explode into seemingly unmanageable permutations. This isn’t conjecture. The custom-made model is fast approaching as technology accelerates and provides more options and more automation.

We’re already seeing customization of household items like rugs made to match colors and patterns supplied by the customer. These can be purchased at physical stores that manufacture in the back room, or ordered online and produced either at the store or some remote facility. In some cases orders can be shipped the next day.

http://ec-bp.com/index.php/articles/editors-blog/11771-custom-delivery-at-scale

High speed railway delivery service covers 505 Chinese cities

Chinese state-run express rail delivery service China Railway Express says its now able to serve all the cities across China which are directly connected to the high-speed rail system.

China Railway Express director Huang Jian says they are now able to provide three-tiered delivery services to 505 cities across China.

“For economical services we are able to deliver goods within 72 hours, charging 10 yuan for the first kilogram. Prices for delivery within two days start at 17 yuan for the first kilogram. For the same-day delivery, the price starts at 130 yuan.” (One Dollar is 6.8 Yuan)

China Railway Express began in 2014, and serviced around 100 cities at that time.

The company is a subsidiary of the China Railway Corporation, which is the former Ministry of Railways.

China is home to the world’s longest high-speed train system, with tracks covering over 20-thousand kilometers.

IoT and 3D Printers are Invading The Supply Chain!

It wasn’t long ago that Apple was lauded for it’s finesse in managing its supply chain. Getting its bazillions of iPhones from China to the US and everywhere else required some groundbreaking advances and a lot of tight controls. Those lessons have gone mainstream as the world took notice and of the company’s strategies and success. And partly because of that expansion, the supply chain now extends to areas as unexpected as social media.

Some of these areas make perfect sense in light of new technologies. An article in Forbes Business lists several areas. Here are the ones that I think are already making a difference.

8 Do’s and Don’ts of Back-end Accounting Integration

Lots of orders? Connect your back-end accounting systems to all of your EDI trading partners or eCommerce platforms to save yourself time and make your customers even happier.

After 22 years of working with businesses like yours, eBridge Connections created the “8 Do’s and Don’ts of Back-end Accounting Integration” paper.

Read more: http://ec-bp.com/index.php/articles/industry-updates/11749-whitepaper-available-for-download#ixzz4MxF0N2cs

TransVoyant Awarded Patent for Innovative Approach to Real-Time Big Data Collection and Predictive Analytics

TransVoyant today announced that the USPTO has awarded it a patent entitled Computer-Implemented Systems And Methods Of Analyzing Spatial, Temporal And Contextual Elements Of Data For Predictive Decision-Making (U.S. Patent No. 9,424,521). The essence of the patent covers TransVoyant’s analytical exploitation of global real-time big data collected via sensors, radar, smartphones, satellites, video cameras and the myriad devices that make up the Internet of Things (IoT). The patent has far reaching implications for cloud computing and data analytics in general, and particularly around the ability to understand what is happening now, and to use machine learning algorithms to predict what will happen in the future – where, when and why.

“At TransVoyant, we deliver transformational insights that help companies to achieve competitive advantage and government agencies to save lives, in ways no one else has thought of,” said Dennis Groseclose, TransVoyant CEO and patent co-inventor. “The IoT and predictive analytics space is evolving at a breakneck pace, and we’re excited to be at the forefront of it. We’re just beginning to scratch the surface.”

TransVoyant employs data collection and predictive analytics capabilities detailed in the patent to solve very complex challenges related to U.S. national security. The nature of these challenges typically involves finding a needle in a haystack (a national security threat) that surfaces quickly and requires immediate attention. This entails collecting massive amounts of live big data around the world each day and analyzing it quickly to detect risks that are unfolding in real-time. It also involves applying sophisticated machine learning algorithms to predict events that will happen in the future.

This use case has applications well beyond national security. Given the dynamic nature of today’s global economy, and the need for companies to understand consumer behavior, track shipments in real-time, and to predict and avoid supply chain disruptions, TransVoyant applies these patented technologies to the business world.

At the heart of TransVoyant’s packaged solutions is its Continuous Decision Intelligence™ (CDI™) platform. CDI includes TransVoyant’s massive repository of real-time big data as well as the proprietary machine learning algorithms that it applies to these data streams to produce live and predictive insights. TransVoyant’s most recent patent is directed to the data collection and analytics processing performed in CDI.

In July of 2016, TransVoyant released a supply chain-focused solution called Precise Predictive Logistics™ (P2L™). This solution offers companies a graphical control tower view of their live goods in motion as well as predictive insights that help them to foresee and avoid supply chain disruptions. The P2L solution sits on top of TransVoyant’s CDI foundational platform. TransVoyant plans to announce future industry-focused solutions sitting atop CDI soon.

About TransVoyant Inc.

TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives. For more information, visit http://www.transvoyant.com.TransVoyant today announced that the USPTO has awarded it a patent entitled Computer-Implemented Systems And Methods Of Analyzing Spatial, Temporal And Contextual Elements Of Data For Predictive Decision-Making (U.S. Patent No. 9,424,521). The essence of the patent covers TransVoyant’s analytical exploitation of global real-time big data collected via sensors, radar, smartphones, satellites, video cameras and the myriad devices that make up the Internet of Things (IoT). The patent has far reaching implications for cloud computing and data analytics in general, and particularly around the ability to understand what is happening now, and to use machine learning algorithms to predict what will happen in the future – where, when and why.

“At TransVoyant, we deliver transformational insights that help companies to achieve competitive advantage and government agencies to save lives, in ways no one else has thought of,” said Dennis Groseclose, TransVoyant CEO and patent co-inventor. “The IoT and predictive analytics space is evolving at a breakneck pace, and we’re excited to be at the forefront of it. We’re just beginning to scratch the surface.”

TransVoyant employs data collection and predictive analytics capabilities detailed in the patent to solve very complex challenges related to U.S. national security. The nature of these challenges typically involves finding a needle in a haystack (a national security threat) that surfaces quickly and requires immediate attention. This entails collecting massive amounts of live big data around the world each day and analyzing it quickly to detect risks that are unfolding in real-time. It also involves applying sophisticated machine learning algorithms to predict events that will happen in the future.

This use case has applications well beyond national security. Given the dynamic nature of today’s global economy, and the need for companies to understand consumer behavior, track shipments in real-time, and to predict and avoid supply chain disruptions, TransVoyant applies these patented technologies to the business world.
At the heart of TransVoyant’s packaged solutions is its Continuous Decision Intelligence™ (CDI™) platform. CDI includes TransVoyant’s massive repository of real-time big data as well as the proprietary machine learning algorithms that it applies to these data streams to produce live and predictive insights. TransVoyant’s most recent patent is directed to the data collection and analytics processing performed in CDI.

In July of 2016, TransVoyant released a supply chain-focused solution called Precise Predictive Logistics™ (P2L™). This solution offers companies a graphical control tower view of their live goods in motion as well as predictive insights that help them to foresee and avoid supply chain disruptions. The P2L solution sits on top of TransVoyant’s CDI foundational platform. TransVoyant plans to announce future industry-focused solutions sitting atop CDI soon.

About TransVoyant Inc.

TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives. For more information, visit http://www.transvoyant.com.

Don’t Drive Without A Dashboard

Supply chain processes throw off a lot of data. If you’re a successful supplier who fulfills a significant number of orders then you understand that the detail of the transactions generated by orders, shipments, receipts, and all the miscellaneous transactions associated with every order is just too much to be able to read through, much less make sense of. But every part of your operation from your suppliers to your customers demand some kind of accountability, and it’s your responsibility to know of any problems or even potential problems long before everyone else. But with all the data flowing through your systems, is it even possible to separate the standard data from the trouble signals?

Read more: http://ec-bp.com/index.php/articles/editors-blog/11740-don-t-drive-without-a-dashboard#ixzz4MCRSjibD

Unmanned Delivery Options Are Changing The Supply Chain

The US Postal Service is handling more commercial shipments than ever. Traditional carriers like UPS and FedEx are seemingly on every street every day. Getting packaged delivered to the increasing number of customers who make purchases without actually showing up at a store is a world wide phenomenon and one in which cost is an important factor.

Of course cost is not the only issue. Speed, convenience, traceability, and reliability are also at the top of the list. And as the digital evolution has show us, new technologies are pushing hard at old school boundaries. Some of the players are new and some have been steadily gaining traction but the last couple months. Let’s take a quick look at the list of technologies affecting last mile delivery.

Uber (and competitors) delivery services
Drone and other unmanned arial delivery
Unmanned ground vehicles

Read more: http://ec-bp.com/index.php/articles/editors-blog/11731-unmanned-delivery-options-are-changing-the-supply-chain#ixzz4LcFHxO6b

DSD and Tracking Data

Direct Store Delivery (DSD) is not new but the speed of commerce is having an impact on just how DSD is working… or not working. The old normal pace of delivery just doesn’t cut it any more when store shelves are stocked to the ‘just right’ levels and the costs of delivery continue to increase. For DSD to continue to be the best way to get product to retailers, the technology needs to replace clipboards.

The obvious answer it to deploy mobile devices with route drivers. That’s the simple answer and one that definitely works. But a lot of thought needs to go into the selection of devices. Is the iPhone the driver carries for their personal business going to work well when it’s the end of the day and there are still 3 more stops to make out in the countryside? Here are 4 things to consider when deciding what kind of mobile device should be in the hands of the driver.

Read more: http://ec-bp.com/index.php/articles/editors-blog/11722-dsd-and-tracking-data#ixzz4KxNvYzAr