Dimensioners at the price of a coffee per day

Case Study

How did vMeasure reduce an online books retailer’s shipping charges with the DesktopShipper’s native integration?

Industry
Online Books Retailer
Product
Automated Dimensioner

Process

Outbound Logistics
Use case
Shipping Cost Reduction
Integration
DesktopShipper

Case Study Summary

vMeasure was deployed at the packing station to dimension a wide range of small-sized SKUs. The company wanted the right dimensions for calculating accurate shipping charges and to save more by choosing the best rates from major carriers through the DesktopShipper’s UI.
vMeasure was natively integrated with DesktopShipper such that the operator could trigger the measurement using the ‘measure’ button from within the DesktopShipper’s UI.
The implementation of vMeasure enabled the operator to dimension and rate-shop from within the DesktopShipper application. This improved labor productivity and reduced shipping costs because they could capture the dimensions within seconds.

Problems faced by the Client

Low order throughput

The manual dimensioning process stalled the growth of order throughput because it was time-consuming.

Inaccurate shipping cost estimates

It was difficult to predict shipping costs as the company did not provide accurate dimensions which resulted in surcharges and penalties for not quoting the right dimensions.

High shipping costs

The company could not decrease their shipping spend since the parcel dimensions were overstated most of the time.

Difficulties In Carrier Selection

The company couldn’t get their choice of carriers right since they had inaccurate dimensions which led to suboptimal carrier selection.

Inability to negotiate better terms with carrier

The management could not arrive upon a favourable contract between the carrier since they did not have accurate dimensions.

Inaccurate shipping label generation

Despite having the DesktopShipper application that simplified the shipping label generation process, those labels were erroneous because the dimensions were still acquired from manual processes.

Manual record-keeping

Maintenance and dissemination of data became difficult as most of the information were handwritten or partly digitized.

Inability to use the DesktopShipper’s application to the fullest

The DesktopShipper application simplified the company’s shipping process, yet the absence of accurate dimensions did not let them use the application to its fullest potential.

Lack of scalability

Difficulty in scaling up warehouse operations without significant increases in IT resources.

Business Problems
Low order throughput

The manual dimensioning process stalled the growth of order throughput because it was time-consuming.

Inaccurate shipping cost estimates

It was difficult to predict shipping costs as the company did not provide accurate dimensions which resulted in surcharges and penalties for not quoting the right dimensions.

High shipping costs

The company could not decrease their shipping spend since the parcel dimensions were overstated most of the time.

Logistics Problems
Difficulties In Carrier Selection

The company couldn’t get their choice of carriers right since they had inaccurate dimensions which led to suboptimal carrier selection.

Inability to negotiate better terms with carrier

The management could not arrive upon a favourable contract between the carrier since they did not have accurate dimensions.

Inaccurate shipping label generation

Despite having the DesktopShipper application that simplified the shipping label generation process, those labels were erroneous because the dimensions were still acquired from manual processes.

IT Problems
Manual record-keeping

Maintenance and dissemination of data became difficult as most of the information were handwritten or partly digitized.

Inability to use the DesktopShipper’s application to the fullest

The DesktopShipper application simplified the company’s shipping process, yet the absence of accurate dimensions did not let them use the application to its fullest potential.

Lack of scalability

Difficulty in scaling up warehouse operations without significant increases in IT resources.

Why do customers choose vMeasure dimensional weighing system over other dimensioners?

vMeasure covered almost 95% of the product/SKU sizes which were dimensioned within <1 second.

The device can measure SKUs in any orientation given that they were inside the camera’s FOV (Field of Vision).

vMeasure was natively integrated with DesktopShipper which simplified the company’s dimensioning and rate-shopping experience.

The operator performed both the dimensioning and the carrier selection from within the DesktopShipper’s application

vMeasure team enabled a seamless integration with DesktopShipper with minimal customer-side IT support.

A configurable default data was built instead of sending “NA” values in case of a failed measurement.

vMeasure Parcel Ultima took less space in their outbound station, enabling them to make more productive use of the space.

The device came with minimal parts and can be installed in 15 – 20 minutes.

Dimensioning Capability

vMeasure covered almost 95% of the product/SKU sizes which were dimensioned within <1 second.

The device can measure SKUs in any orientation given that they were inside the camera’s FOV (Field of Vision).

Software Integration

vMeasure was natively integrated with DesktopShipper which simplified the company’s dimensioning and rate-shopping experience.

The operator performed both the dimensioning and the carrier selection from within the DesktopShipper’s application

vMeasure Forge

vMeasure team enabled a seamless integration with DesktopShipper with minimal customer-side IT support.

A configurable default data was built instead of sending “NA” values in case of a failed measurement.

Physical Characteristics

vMeasure Parcel Ultima took less space in their outbound station, enabling them to make more productive use of the space.

The device came with minimal parts and can be installed in 15 – 20 minutes.

How did the client benefit from vMeasure dimensional weighing system?

The company’s profitability increased because of cost-reduction in packaging, labor, and shipping.

With accurate dimensions, the shipping costs reduced as the company knew exactly what they were paying for.

The shipping costs became predictable, and the management were able to efficiently plan their working capital.

The management was able to handle increasing volumes and adapt to the changing business needs as they enhanced their order fulfilment productivity.

The addition of vMeasure enhanced the dimensioning speed at the outbound station.

vMeasure’s native integration with DesktopShipper simplified their dimensioning and carrier selection workflow since everything was done through the DesktopShipper UI.

The logistics team was able to get better terms with the carriers because they provided accurate dimensions.

Order throughput increased since vMeasure eliminated all the superfluous steps involved with dimensioning.

The admin team found it easy to prepare shipping documentation with no errors since all the required information was available on the DesktopShipper’s application along with accurate dimensions taken with vMeasure.

The integration improved the accuracy of shipping labels which kept shipping errors to a minimum.

vMeasure + DesktopShipper integration eliminated the risk of chargebacks which saved significant time that could have otherwise been wasted on resolving disputes.

The parcel image capture feature served as a proof in case of any carrier chargebacks or penalties.

What are you waiting for?
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What makes vMeasure the only vMeasure dimensional weighing system 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.
Small SKU Mount
Small SKU Mode_Min-Max
Additional Data Capture
All Parcel Mount
All Parcel Mode_Min-Max
Accuracy-All Parcel SKU
Additional Data Capture
White Goods Mount
White Goods Mode_Min-Max
Additional Data Capture
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