3 Voice Picking ROI Boosters

1. Speaker Dependent Recognition
There are several Voice Picking solution providers on the market, many of whom offer Speaker Independent Voice Recognition. Hence, it is important to understand the difference between Speaker Dependent Recognition, which creates a voice profile for each individual user specific to their way of speaking, and Speaker Independent Recognition that does not require user training.

With Speaker Dependent Recognition, each user is provided with a list of key words and phrases,  based on which they are required to go through the workflow on the Voice terminals, speaking the keywords and phrases in their natural voice so as to adapt the Voice Recognizer to their speech. A voice profile for each individual user is then maintained on the voice system and when a user logs into the system by speaking their name and password, their profile becomes active.

Providers of Speaker Independent solutions claim that they minimize user training time; however, it is important to note that the time saved in user training is nullified by the impact of lost productivity and inaccuracies from misrecognition. This problem is further escalated when Speaker Independent Recognizers are used in noisy environments or when you have a diverse workforce with different accents and dialects.

Therefore, Speaker Dependent Recognition is the key to optimized productivity and accuracy, helping maximize your savings.

2. Continuous Recognition
Continuous Recognition is used to combine multiple keywords, phrases and numbers into a single response and can be used as a part of Expert Mode. Once users meet the productivity benchmarks set by your company, they can be assigned to Expert Mode.

Below is an example of the reduction in steps with the use of Expert Mode:

Normal Mode Prompt: Go to Location 123   Response: “Check 456” Prompt: Pick 3   Response: “Grab 3” Prompt: Put 3 Position X   Response: “Put Confirm”

Expert Mode Prompt: Location 123 Pick 3 Put X   Response:  456 Put 3 X

The productivity gains with Expert Mode are substantial when these efficiencies are multiplied across thousands of voice transactions in the distribution center.

3. Counting Capability
Counting Capability allows users to count “partial”. This function is particularly useful when an order has large quantities and a user is required to count each item, leading to lost productivity and accuracy from miscounting, recounting due to interruptions etc. 

For example, if a quantity of 50 is required, the user can count and hold a smaller quantity (e.g. 10) at a time and speak “Pick 10 Partial”. The system will then keep count for the user, and when the user confirms that the first 10 has been put, they will be directed to return to the location and pick the remaining 40. The user can continue to do partial picks until the total quantity is picked.

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