Case Study

Capacity LLC

Capacity LLC

Customer Story

Capacity LLC

Since bringing Nulogy into its facilities in 2020, Capacity LLC has replaced paper-based production and labor tracking with real-time data, improving shop floor efficiency and customer experience.

IndustryLogistics & Contract Packaging
SolutionNulogy Shop Floor
RegionUnited States, UK & India
Download the Case Study
About Capacity

Capacity LLC is a full-service logistics provider headquartered in New Jersey, with locations in the U.S., UK and India. Alongside assembly, B2B and e-commerce fulfillment and transportation, Capacity offers value-added contract packaging to brands in cosmetics, hair and skin care, electronics, OTC pharmaceuticals, medical devices, footwear and apparel.


The Challenge

Paper tracking and lagging production data

Capacity tracked production and labor at each facility on paper and by hand. Staff spent time traveling between locations to manage lines and oversee as many as 150 employees.

Daily metrics were recorded by hand, and client communication such as kitting approvals and inspections ran through long email chains, slowing Capacity’s response to real-time production issues.

“
For us, Nulogy is essential in consistently delivering greater value to our brand partners.
Thom Campbell, Co-Founder & Chief Strategy Officer, Capacity LLC
The Results

Outcomes

Digitizing the shop floor gave Capacity better use of labor, more accurate quotes and real-time updates for customers.

More Efficient Shop Floor

Real-time responsiveness and per-project labor allocation in Shop Floor mean labor is used more efficiently, and client quotes are more accurate.

Faster, More Accurate Labor Data

Paper forms and manual data entry are gone, along with the errors they introduced, and the team spends far less time on job paperwork.

A Better Customer Experience

Customers get production timeline updates in real time, without staff walking the floor to check on every job.

See Nulogy Shop Floor in Action

Talk to our team about real-time production and labor data, the way Capacity did.

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