Put walls play an increasingly vital role as a growing number of distribution centers (DCs) take on the challenges of fulfilling e-commerce and direct-to-consumer (DTC) orders. By providing an effective way to consolidate diverse products across multiple channels within a DC, put walls make it easy to enhance efficiencies, especially when integrating manual and automated picking workflows with enabling technologies.
Simple concept, dramatic results
A put wall is a cabinet-like structure divided into a series of compartments or "cubbies." One side is typically staffed by one or more operators who put product into assigned cubbies for their respective orders. On the other side, operators pack out the orders or place them on a takeaway conveyor that whisks them off to shipping.
Where and how put walls are integrated into the workflow can vary widely, depending on the operation. The basic idea is to consolidate demand from various upstream picking processes into the appropriate cubby. This enables efficient multichannel fulfillment of both mixed- and single-SKU orders, making put walls ideal for DCs that handle multi-line orders with regular promotions, flash sales or seasonal specials.
What's driving put wall adoption?
As consumer expectation and the number of online orders continue to rise, the pressure is on retailers to address several significant challenges:
SKU proliferation - Consumers continue to buy more online, and even infrequently ordered items must still be accounted for in the fulfillment process. Put walls make it possible for DCs to optimize upstream picking processes and take on more SKUs, while still maintaining accurate and efficient order consolidation and pack-out processes.
Changing order and product profiles - From small to large products to orders of widely varying sizes, product and order profiles are dictating ever more flexible order processing and handling requirements. The newest generation of configurable put wall technology offers a ground-breaking shift from fixed to customizable cubby sizes, delivering slotting gains of up to 35 percent just by optimizing existing rack space.
Omnichannel diversification - To keep up with the demands of omnichannel fulfillment, many retailers are converting their existing facilities to incorporate e-commerce distribution into their supply chain operations. Retailers are integrating put walls to deal with these complexities, reduce order errors and increase throughput.
Enabling technologies enhance put wall efficiency
Put walls can be enhanced by technologies that direct the operator to place items in the correct cubby, then confirm when an order is complete. These enabling technologies - including radio frequency (RF) scanners, and voice- and light-directed systems - deliver return on investment relatively quickly by significantly improving operator productivity and order accuracy.
In picking and putting scenarios, these technologies enable intelligent order batching, adjustments and order allocation among wave, pick and put. Built-in slotting logic also provides ergonomic benefits to pickers, minimizing fatigue by keeping as much movement as possible inside the "golden" zone.
To learn more about put wall solutions and the enabling technologies that enhance them, click here.
Zone skipping has emerged as a logistics strategy with great potential for e-commerce operations, for its ability to reduce shipping costs and increase delivery speed. But how exactly does it generate these returns?
The first step in building a successful zone skipping operation is understanding the fundamentals. This initial installment of a three-part blog series on zone skipping introduces the basics of the strategy and how it drives benefit for e-commerce fulfillment operations.
What is zone skipping?
Zone skipping is a sortation strategy that involves the retailer or e-commerce fulfillment operation taking on sortation steps traditionally reserved for the parcel carrier. Packages are pre-sorted at the fulfillment center rather than by carriers. In a traditional workflow, all shipments are picked up by a carrier, sorted at a local facility, again at a regional hub and once more at the destination facility before final delivery. Zone skipping effectively "skips" several stops between the fulfillment center and delivery to the customer. It involves pre-sorting orders at the fulfillment center, thus avoiding sortation steps by parcel carriers; routing orders directly to a later phase in the shipping process for final delivery to the customer.
How is it a competitive asset for e-commerce operations?
Shipping operations are complex, so why would retailers want to get involved? Simply put, efficient delivery plays such a critical role in meeting customer service expectations and protecting margins that any efficiency gains are very much worth the effort. According to the 2016 UPS Pulse of the Online Shopper study, of the more than 90 percent of buyers who reported abandoning shopping carts, at least half cited unexpectedly high shipping costs as the reason for doing so. Further confirmation that in today's demanding e-commerce climate, speed and low shipping costs are critical to success.
Therefore, every supply chain process must be conducted as efficiently as possible. Otherwise, they cost businesses time and money. Much of the cost savings driven by zone skipping come thanks to reduced transportation costs, as the pre-sorting enables orders to bypass parcel carrier sortation and the associated transportation between carrier hubs. As operations face dimensional weight (DIM) and other pricing pressures, finding ways to reduce dependence on parcel carriers can help keep shipping costs in check.
Zone skipping also saves time, simply by reducing the number of steps required to move an order from the fulfillment center to the final destination. As Amazon, Walmart and other giants battle it out over free two-day shipping and consumers become accustomed to fast and free delivery, cost-effectively saving time is critical to keeping up and protecting margins.
ROI: How do the savings add up?
Operations can expect a savings range of 25-75 percent per parcel with zone skipping. Of course, no two operations are the same, so exact ROI figures vary but a company can completely recoup $1 million spent on a sortation system in less than a year. Assuming a conservative savings estimate of $0.20 per item in shipping costs, multiplied by 200,000 to 500,000 order per week, operations can generate between $40,000 and $100,000 in weekly savings. Furthermore, the benefits of zone skipping extend beyond shipping costs. Faster shipping times can improve customer retention and even help win new online business as consumers comparison shop for the best combination of speed and total cost.
For tips on getting a successful zone skipping operation off the ground, stay tuned for part two of the blog series that will cover implementation. In the meantime, check out the Intelligrated white paper, Zone skipping strategies to reduce e-commerce shipping costs.
In Intelligrated's most recent On The Move webinar, "Using business intelligence to improve your labor force," I explored the potential of marrying business intelligence's (BI) visualization and self-directed investigation capabilities with the known benefits of labor management software (LMS). Combined, these tools are helping businesses better identify labor performance and efficiency problems, and exploit opportunities to improve performance.
To start the discussion, I explained how BI has evolved from an IT-driven pursuit to a self-service model - one where the end user performs the data investigation process and generates visualizations that help companies quickly see trends in large sets of information, as well as identify anomalies. To demonstrate the value in this concept, I presented a visualization of the traffic patterns in the greater Los Angeles metropolitan area. By briefly looking at the visualization, one can quickly determine L.A.'s traffic pattern origins and its concentration of commuter destinations.
Then, I transitioned the focus of the discussion to the use of BI in labor, specifically about how advancements in self-service tools and their integration with LMS are enabling companies to gain new labor insights and address labor market challenges. With the integration of BI into LMS, companies can take traditional performance analytics a step further, by digging deeper into root cause analysis that often belies original assumptions.
To demonstrate the impacts of self-directed investigation in labor management, I walked through three case studies using Intelligrated's BI tool.
1. Shipping error investigation. A repeat missed shipment problem on third shift warranted further investigation by the labor manager. The initial investigation suggested that those shipping errors likely stemmed from the temporary workers on that shift. But upon further investigation, the BI tool revealed that the temps on third shift were outperforming the full-time employees (FTEs). From that insight, the manager inferred that the company's third shift temp training was producing higher performance rates than those of its FTEs. The manager could then take steps to refresh FTE training and address the performance problem.
2. Star performer identification. Most organizations typically have one employee who regularly outperforms others. Through self-directed investigation, BI visualizations help labor managers uncover the specific work patterns that allow these individuals to excel. In this example, I demonstrated how an investigation revealed one shipping staff member who far exceeded the performance levels of his co-workers. Further digging with the BI tool uncovered that this person was especially skilled at processing cases. From a management perspective, this allows leadership to follow up with this individual, understand their processes and then pass these learnings on to other staff members.
3. Execution monitoring. One of the primary goals of resource planning is to make sure the current labor force can execute the daily volume of work. The BI tool enables management to evaluate volume levels throughout the day and adjust the labor force as needed. Visualization clearly shows where the resources and execution plan do not line up. Management can use this tool at different points of the day to see a snapshot of performance versus execution, and then plan accordingly.
To learn more about the potential of BI in labor management, please view this webinar in its entirety.
The evolution of business intelligence (BI) has brought visualization and self-directed data investigation to labor management software (LMS). While LMS may generate mass amounts of data, this information is only as good as its ability to present it in a manner that is easy to interpret. Without BI, knowing which areas to focus on requires multiple levels of investigation. With BI, you're able to to not only reveal the root cause of a trend or problem, but include other necessary data points to see the full picture.
In our next On The Move webinar, Jason Franklin, Intelligrated Software's product manager of labor and business intelligence, will discuss the potential for using BI in LMS applications. The webinar will take place on Tuesday, June 27, 2 p.m. EDT / 11 a.m. PDT and demonstrate how BI is used to investigate and uncover what's typically unseen data. Jason will demonstrate this capability with common labor scenarios that can help organizations improve their labor pool's performance.
Attendees will learn how to:
- Better optimize temporary labor resources
- Identify top performers and transfer their knowledge to others
- Improve labor planning processes through better planning and execution
- Predict and prepare in advance for daily throughput peaks
Jason will use three common labor scenarios as case studies to demonstrate how BI can be used to uncover actionable intelligence that will allow you to get the most out of your labor force. The first case study will show how the poor performance of full-time employees is tied to temporary workers, and how BI helped uncover the root cause of the issue. The next case study will highlight a star performer, and demonstrate how BI can identify and teach the behaviors that are helping that individual excel. The last case study will discuss the importance of effective labor planning and how BI can help monitor current progress and predict daily production peaks and valleys.
Register now for this informative On The Move webinar to learn how BI and LMS can help you maximize your labor force productivity.
Accuracy plays a critical role in the success of any modern distribution center (DC). In fact, for some businesses such as pharmaceuticals, accuracy outweighs every other aspect of the DC, including cost. No matter what the product, accuracy can help to build a loyal client base, while even one incorrect pick can cost you a valuable customer.
Yet as crucial as it is to any business, ensuring order accuracy has become an even bigger challenge as the complexities of omnichannel fulfillment have multiplied in recent years. To make matters worse, many pick- and put-to-light systems aren't designed with the ability to assist pickers in making sure every order is accurate. Too often, order fillers can't even ask the system basic questions about SKU numbers or order IDs, while managers can't easily trace errors to particular workers.
Here are four key ways modern pick-to-light systems give pickers and DC managers the tools they need to ensure order accuracy:
1. Empowering pickers - Order fillers can query the system to determine the correct SKU, order ID, store ID and last put location. They can also report important conditions back to the system, such as out-of-stock items, damaged merchandise or requests to suspend stock locations.
2. Management insight - Managers investigating the sources of order inaccuracies can trace errors back to specific order fillers. Labor locations, pick rates and accuracy rates are available 24/7 via virtually any type of digital display device, from smartphones to tablets and laptops. This gives managers the ability to find the sources of any problems through labor management software and, if necessary, provide additional coaching or training to individual order fillers.
3. Checking the weight - For an additional quality measure, Intelligrated's pick-to-light systems can perform a weight check, comparing an order's actual weight to its expected weight. This simple step can identify mismatches before an order is shipped to the buyer, giving the DC a valuable backup strategy to ensure the order is correct.
4. Adapting to variable product sizes - Modern pick-to-light systems include trays designed to accurately handle a wide variety of product sizes and shapes, increasing picking and putting accuracy in high-velocity, high-SKU omnichannel and e-commerce fulfillment environments. This allows retailers to optimize shelving and racking allocations to accommodate different product profiles throughout the year, always keeping relevant items within a picker's reach.
Whether your business is focused on e-commerce, store replenishment, retail, omnichannel fulfillment, manufacturing or route distribution, advanced pick- and put-to-light technology provides scalable, flexible solutions that drive maximum throughput and order accuracy. To learn more about how Intelligrated's intelligent pick-to-light systems can make your DC's fulfillment more accurate, click here.