Are you evaluating voice technology in the warehouse? If your outbound warehouse operations involve complex selection and loading challenges, Syntelic can meet those challenges head on. Syntelic drives the processes that lead to optimized, more profitable loads, including voice-directed selection. Syntelic is tailored for companies that:
Syntelic leverages the clear advantages that voice technologies provide over other order picking methods. Voice-directed selection has been proven to reduce picking errors, increase productivity, drive down training costs, and enhance warehouse safety. But voice alone is just one piece of the logistics puzzle. By itself it can't address the problem of staging pallets on the loading dock and other inefficiencies. Syntelic brings in the day's routes and orders to calculate optimal load plans and sequence voice-directed selection tasks based on the order pallets need to go on trailers. Syntelic makes the most of voice systems to cut costs and increase profitability for companies with complex outbound logistics challenges.
Voice systems allow warehouse selectors to pick orders quickly and accurately using voice communications instead of printed records, labels, or the use of hand-held scanners. A voice system includes the hardware used by selectors, such as lightweight headphones, microphones, and wireless wearable computers to work hands-free by getting voice instructions and responding back by talking. It includes speech recognition and speech synthesis software to convert computer text into speech and vice versa. Communications between selectors and the software terminal are relayed in real-time via radio frequency (RF) over a local area network (LAN). A voice system’s software communicates with a Warehouse Management System (WMS), Labor Management System (LMS), or other order-handling system to generate selection tasks. Syntelic gives managers the ability to manage the work queue, document standard labor times for each task, make reassignments on the fly, and assess each selector’s productivity.
Why are companies making the switch to voice picking? Simply put, the cost savings are substantial over label picking and hand-held laser scanning. The typical return on investment is less than one year. Voice-directed order selection saves money through better accuracy, increased productivity, and less training time.
Short picks, over picks, and missed picks siphon off profits, especially for industries where margins per case are low. Consider these cost factors:
Implementing a voice system can increase picking accuracy by 80-90%. An error rate of < 1 per 1,000 picks is common with voice.
Example of Lower Error Rate
Consider a warehouse that picks 5 million cases per year and sees an average of 5 picking errors per 1,000 at $12 per error for a total annual cost of $300K. After implementing a voice system, the error rate drops to 1 per 1,000.
Before Voice Picking: (5 million x .005 x $12 = $300K)
With Voice Picking: (5 million x .001 x $12=$60K)
Annual savings ($300K - $60K)= $240K.
Pick-by-label can generate picking errors when labels are miscounted or mis-applied, selectors memorize the location of picking slots to produce faulty assumptions, or data is recorded incorrectly. Even bar-code scanning which can attain a 99% accuracy rate is subject to errors when labels are scanned correctly but a selector is distracted when keying in a quantity picked and mistakenly grabs the wrong case or puts it on the wrong pallet. That 1% error represents substantial lost profits. By reducing the elements of hands on labels, or hand-held devices and eyes off of picking tasks to read or enter data, voice systems are inherently less prone to errors.
Voice-directed order selection elevates worker productivity by optimizing physical movements, minimizing distractions, and setting a faster pace. Productivity improvements of 10-25% can be met as selectors:

Example of Increased Productivity
Increases in productivity can be measured in terms of the average cases per hour picked by each worker. Take the cases picked per day divided by hours per day worked (e.g, 8 hours) divided by number of selectors (e.g., 18 selectors.
20,000 cases ÷ 8 hours per day ÷ 18 selectors = 139 cases per hour per associate. A 20% productivity gain would raise the cases per hour to 167.
To figure out how this translates into a work force reduction, take the same equation and solve for X as the number of selectors.
20,000 cases ÷ 8 hours per day ÷ (x) selectors = 167 OR x = 20,000 ÷ 8 ÷ 167 = 15 selectors.
In this example that means three fewer selectors are needed with the switch to voice-directed selection.
The Syntelic warehouse solution, having planned all outbound loads, keeps track of all the warehouse picking tasks. Every task is given a standard labor time based on factors such as the number of cases to be selected, their weight, and where they are located relative to the last task. All of these tasks are then assigned to selectors, and managers can monitor picking progress and make adjustments as needed. Managers can also evaluate a selector's performance and provide guidance as needed to achieve improvements.
When savings are calculated for order picking accuracy, productivity improvements, paper and other materials reductions, and training, the break even point for a Vocollect Voice System is usually reached in less than one year.