Case Study
Dimensioning & Weighing Boost SKU Safety in Fulfillment
Industry
Fulfillment center
Product
Automated dimensional scanner
Process
Inbound Process
Use case
Inventory Management
Integration
Warehouse Management System
Case Study Summary
The client is an eCommerce firm who implemented vMeasure automated dimensional scanner with a custom Dymo M10 weighing scale at their workstation to get accurate dimensions of small-sized packages weighing not more than 10 lbs.
The workflow was tailored to meet the client’s needs, starting with the integration of the custom weighing scale Dymo M10, followed by the uploading of parcel images to their desired S3 bucket and adding barcode value to the annotated parcel images.
By implementing vMeasure, the client was able to expedite the dimensional measurement of SKUs, while also simplifying their workflow by eliminating the need for manual data input.
Problems faced by the Client
Improper Inventory Management
The inaccuracy of manual data entry at the inbound process translated into wrong SKU counts or missed replenishment deadlines, resulting in lost business opportunities.
Inability to provide rate discounts
The company was facing stiff competition as increasing labor and warehouse management costs restricted their ability to give out attractive rates or free shipping to their customers.
Increased SKU damage
SKU damage rate increased because of inaccurate package dimensions and weight information. This decreased customer satisfaction.
Increase in handling time and costs
The warehouse associates had to spend a lot of time rearranging various SKUs to make way for new ones which was increasing the handling time and cost.
Accuracy variance
The deviation between manual dimensions and actual measurements increased shipping charges and unreliable cost estimations.
Inability to conform to unloading schedules
There was a mismatch between the scheduled unloading time and the actual unloading time because the warehouse associates had to store the previous load, which was manual, erroneous, and time-consuming.
Absence of SKU data
Since most of the SKU data capture was manual, integrating the SKU information into their existing system was difficult and made it vulnerable to data loss.
Scalability issue
The team couldn’t scale the fulfillment operations and manage them without increasing the IT resources which raised the question for a proficient backup and managing software.
Inadequate technology
The company’s technological infrastructure at that point did not support sophisticated integrations.
Why do customers choose vMeasure dimensioning and weighing machine over other dimensioners?
How did the client benefit from vMeasure dimensioning and weighing machine?
The company improved inventory management as the SKU data capture was automated and accurate.
The management reduced SKU damage, caused by improper storage, enabling the company to make customers happy.
It became easy to process more inbound orders and did not have to wait to make up space for the item. This drastically decreased labor costs and material handling costs while increasing profitability.
The order accuracy increased since the received order was accurately mapped to the listed item on the PO with SKU images.
The custom weighing scale integration became a great fit at their fulfillment center since it was friendly for the small SKU sizes.
The workflow customization allowed the fulfillment center manager to collect SKU-level data such as fragility, special handling requirements, and so on at the receiving station in an instant.
The SKU images were automatically sent to the desired S3 bucket which proved beneficial during the outbound stage to match the order with the SKU, thereby eliminating any erroneous picks or order fulfillment.
There was no guesswork with storing inbound orders since accurate dimensions enabled better use of the storage racks without any underutilization or overutilization.
There was minimal need for additional storage space since every SKU went in the right location, thereby maximizing the available space.
Fulfillment center associates took less time to dimension and did not have to update the measurement data to their WMS manually. This decreased fatigue and increased their productivity.
By automating data collection, the likelihood of utilizing inaccurate or erroneous information was minimized.
The fulfillment center administrators were able to rely on accurate data to forecast inventory needs and plan accordingly to paper-based record keeping to avoid stockouts or overstocking.
What makes vMeasure the only vMeasure dimensioning and weighing machine capable of solving your needs?
capable of solving your needs? vMeasure is an highly adaptable dimensioning as a service solution which can capture the height, length, width, weight and image of the parcel/SKU in <1 second.
| vMeasure parcel dimensioners specifications | ||
|---|---|---|
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Minimum Dimensions (L – W – H) |
1.2 x 1.2 x 0.8 in* 3 x 3 x 2 cm (* For items below 0.8 inches in height, a special envelope base plate is required) |
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Maximum Dimensions (L – W – H) |
39.4 – 29.5 – 17.7 in 100 – 75 – 45 cmhidden texttx |
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Accuracyhidden texttx |
Cubes/Cuboids – 0.2 in / 0.5 cm Other Objects – 0.4 in / 1 cm |
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Mounted onhidden texttx |
Table / Mobile Cart / Mechanical Conveyor |
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Data capturedhidden |
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* For items below 0.8 inches in height, a special envelope base plate is required
| vMeasure parcel dimensioners specifications | |
|---|---|
|
Minimum Dimensions (L – W – H) |
2 x 2 x 2 in 5 x 5 x 5 cmhidden txthidden |
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Maximum Dimensions (L – W – H) |
53.1 – 41.3 – 33.5 in 135 – 105 – 85 cmhiddden text hidden |
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Accuracyhidden |
0.4 in / 1 cmhidden text hidden |
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Mounted onhidden |
Table / Mobile Cart / Mechanical Conveyor |
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Data capturedhidden |
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| vMeasure parcel dimensioners specifications | |
|---|---|
|
Minimum Dimensions (L – W – H) |
3.9 x 3.9 x 3.9 in 10 x 10 x 10 cmhidden text hidden |
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Maximum Dimensions (L – W – H) |
78.7 – 59.1 – 55.1 in 200 – 150 – 140 cmhidden text hidden |
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Accuracyhidden |
0.6 in / 1.5 cmhidden text hidden |
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Mounted onhidden |
Floor / Mechanical Conveyor |
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Data capturedhidden |
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