Logistics ops · Production

BevChain reduces report generation time 50% and saves 1,000+ employee hours with Blue Yonder TMS

The problem

BevChain needed a system capable of dynamically executing large-scale workloads while serving a diverse customer base, and relied on manual processes for tariff calculation and invoice adjustments that consumed significant employee time.

Workflow diagram · grounded in source
1
Predictive analytics modeling
ai_action
“leverages predictive analytics through modeling and optimization to simulate scenarios, forecast outcomes, refine strategies, and support resource planning and cost projections”
2
Automated tariff calculation
ai_action
“automated tariff step rate calculation, which enables the company to handle large volumes of data more effectively. This automation simplifies compliance with trade regulations and eliminates previously manual processes, saving approxima…”
3
Supersede duplicate removal
validation
“supersede function streamlines transportation operations by removing duplicate charge codes and eliminating the need for manual adjustments related to double pricing. This enhancement alone has resulted in over 1,000 hours of employee ti…”
4
Automated invoicing
output
“By automating invoicing, we have accelerated the order-to-cash timeline and achieved invoicing precision”
5
Standardized report generation
output
“standardized workflows and data access restrictions have shortened report generation time by 50%, cutting it from one hour to 30 minutes. This allows the finance team to produce error-free financial statements and ensure more timely billing”
6
Predictive routing and load optimization
ai_action
“leveraging predictive routing, dynamic load optimization, and reduced empty miles to enhance load efficiency”
Reported outcome

Blue Yonder TMS automated tariff calculation, saving approximately 12 hours per month per employee, and the supersede function saved over 1,000 hours of employee time.
Standardized workflows shortened report generation time by 50%, from one hour to 30 minutes, while automated invoicing accelerated the order-to-cash timeline.

Reported metrics
Employee time saved per month (tariff calculation)approximately 12 hours per month per employee
Total employee time saved (supersede function)over 1,000 hours
Report generation time reduction50%
Order-to-cash timelineaccelerated
Show all 5 reported metrics
employee time saved per month (tariff calculation)approximately 12 hours per month per employee
total employee time saved (supersede function)over 1,000 hours
report generation time reduction50%
order-to-cash timelineaccelerated
operational decision-making qualityenhanced operational decision-making, driving smarter strategies
Reported stack
Blue Yonder TMS
Source
https://blueyonder.com/customers/bevchain
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Blue Yonder TMS automated tariff calculation, saving approximately 12 hours per month per employee, and the supersede function saved over 1,000 hours of employee time.

What tools did this team use?

Blue Yonder TMS.

What results were reported?

Employee time saved per month (tariff calculation): approximately 12 hours per month per employee; Total employee time saved (supersede function): over 1,000 hours; Report generation time reduction: 50%; Order-to-cash timeline: accelerated (source-reported, not independently verified).

How is this logistics ops AI workflow structured?

Predictive analytics modeling → Automated tariff calculation → Supersede duplicate removal → Automated invoicing → Standardized report generation → Predictive routing and load optimization.

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