4 Ways Optimizing Warehouse Picking Can Help Save Time & Money
At its essence, efficient warehouse picking is about fulfilling customer orders via your warehouse management system (WMS) with the least amount of material handling and labor output. It’s an important task to optimize as more than 50 percent of a DC’s labor force is typically involved in picking. Many organizations today overlook easy ways to make warehouse picking more efficient and less costly. Below you’ll find four ways to tackle this problem followed by an in-depth look at various picking methods and associated technologies.
The Trials and Tribulations of Warehouse Returns Management
Ask anyone in your warehouse how well they like to handle returns, and you’ll likely hear a sigh or groan in response. That’s because the returns management process, with its time and space requirements and excess inventory management, is a sizeable hassle for most distributors.
Supply Chain, Warehouse Management
Cross-Docking: A Great Choice for Handling Specialty Items
Effective inventory management is always a delicate dance between the cost associated with carrying too much inventory and the risk of not carrying enough to fulfill a customer order at the right moment. With ongoing pressure to ship orders within compressed timeframes, there’s no room for error, and competitors are always on your heels.
Platform, Supply Chain, Warehouse Management
The Future of Warehouse Management Systems (WMS) Must Support Complex Warehouse Requirements for a New Era of Buyers
A new era of buyers has arrived, and they are focused on the customer experience. It’s not enough to simply deliver a product into a buyer’s hands. No matter the industry, today’s savvy consumers expect a seamless, superior experience that delivers on a company’s brand promise.
Analytics, Business Intelligence, Supply Chain, Warehouse Management
Get Down to Brass Tacks
A lot of focus has been placed on advanced and predictive analytics, and rightfully so. I have written many posts and have spoken publically on the merits of advanced analytics for several years now. What I find disorienting and misleading are marketers harping on how important it is to adopt advanced analytics right now. The thing that they just don't get (or maybe they don't want to get?) is that an organization will need to transcend a series of analytical maturity levels before they can truly capitalize on the benefits of advanced and predictive analytics.
Analytics, Business Intelligence, Healthcare, Supply Chain, Warehouse Management
Competing on Data Talent
In my last post, I introduced the longitudinal study that MIT Sloan Management Review has been conducting over the past five years. From 2010 to 2012 they indicated that 67% of those surveyed believed that analytics gave their organizations a competitive edge. In 2013, that figure stabilized at 66% revealing the so called 'Moneyball Effect' where leaders lost their competitive edge that they once enjoyed because followers matured and made analytics core competencies. In 2014, that trend continued, falling to 61%.