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What’s Your Cost Per Order, and What You Can Do About It

June 3, 2025
 
-
 
June 3, 2025
Tue
 
12:00 pm
 
(
ET
)
 
-
 
Tue
 
5:00 pm
 
(
BST
)
3.6.2025
June 3, 2025
12:00 pm
 
ET
 -
 /
 
BST
5:00 pm

Every Second Counts: Bringing Down Fulfillment Costs with Data

Booth #357
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First name *
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By submitting this contact form you are asking Keboola Czech s.r.o. to get in touch with you and you agree with Privacy policy.
Fields marked with * are mandatory
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First name *
Last name *
Business email *
Phone number *
Company name *
By submitting this contact form you are asking Keboola Czech s.r.o. to get in touch with you and you agree with Privacy policy.
Fields marked with * are mandatory
Thank you for your registration! We received your contact details. Expect an email with information about the event. We look forward to seeing you there!
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Every Second Counts: Bringing Down Fulfillment Costs with Data

The margin on each package you send out includes a portion of warehousing, labor, and shipping costs. While the first and third are relatively fixed, the second has a lot of potential for optimization.

How?

Keboola can help you track, aggregate, and visualize labor data and lower your Labor Cost per Order.

Register and Join us on Tuesday, June 3, 2025 at 12:00 PM Eastern Time (ET)

✅ How to calculate and monitor your Cost Per Order (CPO)

✅ What data sources to integrate (orders, worklogs, holidays)

✅ How to visualize the output in dashboards for fast decisions‍

Why attend?

Whether you're managing your own warehouse as a D2C brand or handling fulfillment as a 3PL provider, this session will show you how to gain full visibility into labor efficiency, optimize resource allocation, and cut operational costs.

All without compromising speed or customer satisfaction.

Speakers:

Speaker title
Vojta Tuma
Field CTO at Keboola

Vojta Tůma, Field CTO at Keboola, simplifies data workflows and drives innovation. With an IT background, he lectures at VŠE and speaks at global conferences. He helps businesses leverage AI for smarter data management.

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