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Case Study • Beverage Distribution

How AccelOne Automated Workflows and Modernized CCU’s Distribution Portal

AccelOne automated three workflows and modernized CCU’s portal for 2,500+ distributors, combining Robotic Process Automation (RPA), platform migration, and Level 3 support to reduce manual work and simplify ordering.

Beverage Manufacturing and Distribution
Engagement: Process Automation, Distribution Portal Development, and Platform Modernization
Partnership: Software Development, Continuous Improvement, and Level 3 Support
Distribution warehouse with connected inventory and delivery data
2,500+
Distributors served by the distribution portal
3 Workflows
Bank reconciliation, purchase orders, and debt reporting
2 Solutions
RPA and distributor portal modernization
Level 3
Ongoing engineering support and development
At a Glance
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Manual tagging remaining
Near-complete elimination.
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Manual tagging remaining
Near-complete elimination.
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Manual tagging remaining
Near-complete elimination.
Overview
CCU’s Distribution Portal: workflow, distribution, beverages

CCU’s beverage distribution operations span multiple countries and a broad portfolio of brands. Internal teams needed more efficient financial and order processing workflows, while distributors needed a dependable way to place orders.

AccelOne addressed both needs. The team automated repetitive tasks and improved the existing Python and Django portal before migrating it to a React frontend and an Odoo Enterprise backend customized with Python. Ongoing support helps the systems evolve with CCU’s requirements.

The Challenge

Manual Processes and an Underperforming Ordering Portal

Bank payment reconciliation, purchase order processing, and customer debt reporting depended on manual steps that consumed staff time and introduced errors. At the same time, CCU’s existing distributor portal had become complex and was underperforming.

With thousands of distributors relying on the portal, interruptions could affect orders and revenue. CCU needed to improve performance and usability while preserving the capabilities its distribution network already used.

the challenge

Search and tagging had become a serious bottleneck

With millions of videos, search and tagging had become a serious bottleneck.

challenge 01

Manual tagging didn't scale

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challenge 01

Manual tagging didn't scale

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challenge 01

Manual tagging didn't scale

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challenge 01

Manual tagging didn't scale

Description here.

Highlights

Engineering Highlights

01

Modernization in Two Stages

AccelOne first improved the performance and reliability of the existing Python and Django portal and added distributor features. This established a stable foundation for the next stage: migration to React and Odoo Enterprise while retaining the original portal’s (V1) functionality.

02

Business Logic Built Around Distribution

The team customized Odoo Enterprise with Python to support CCU’s distribution rules across brands and countries. React provided the new frontend, while the customized backend handled the business logic behind ordering.

03

Support Connected to Continuous Development

AccelOne provides Level 3 support for complex software issues that require deep knowledge of the system. The engagement also includes requirements gathering, business analysis, and testing before updates are deployed.

the solution

A hybrid AI video intelligence pipeline built for scale

Description here.

The Impact

Key Impact: Cost Reduction by Three Orders of Magnitude

One of the most significant achievements of this engagement was the reduction of AI processing costs by three orders of magnitude.

By combining on-premises transcription models with selective use of commercial APIs, AccelOne designed a hybrid architecture that:

This approach made the system not only scalable and secure but also economically viable at a massive scale, unlocking growth for Kurator without cost bottlenecks.

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The result was not just faster delivery, but stronger alignment around how

Monetate builds and evolves its platform.

How it works

7-step AI pipeline

Each component is modular and optimized for cost and reliability.

Step 01

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Handing off these tasks to AI allowed senior engineers to focus more time on architecture, edge cases, and customer-impacting decisions. Quality remained non-negotiable.

As Austin puts it:

AI helps our QA team get from zero to 85 percent of their job much faster, so they can focus on the 15 percent where they add real value.

The outcome enabled operational acceleration without sacrificing discipline.

Warehouse team moving pallets with a forklift
Solutions

Automating Internal Work and Modernizing Distributor Ordering

AccelOne delivered two complementary solutions: an RPA system for repetitive internal processes and a modernized portal for distributor orders. Robotic process automation, or RPA, uses software to carry out repeatable tasks based on defined rules.

Bank Payment Reconciliation: Automation matches incoming payments to open invoices, reducing manual reconciliation work across CCU’s accounts.

CAPABILITY 01

Reconciliation

Purchase Order Processing: Automated validation, routing, and registration replace manual steps in processing distributor purchase orders.

CAPABILITY 02

Automation

Customer Debt Reporting: Automated report generation replaces manual compilation, improving the consistency and timeliness of distributor debt information.

CAPABILITY 03

Reporting

Distributor Ordering Portal: The modernized portal supports order placement for 2,500+ distributors across multiple countries. The migration preserved existing functionality and created a foundation for future features.

CAPABILITY 04

Modernization
Under the hood

Open-source intelligence, cloud applied selectively

The pipeline combines open-source models with selective cloud services, running primarily on on-prem GPU infrastructure to deliver production-grade accuracy while avoiding cost, lock-in, and unpredictability.

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Open Source

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Open Source

This hybrid approach delivers production-grade accuracy while avoiding the cost, lock-in, and unpredictability of cloud-only architectures — making large-scale video intelligence economically sustainable at 2.5M+ video scale.

Project recap
AI-powered video intelligence at massive scale
the outcome

A searchable, time-addressable catalogue spanning millions of hours

What was previously locked behind sparse tagging and manual review is now discoverable at scale — while balancing cost efficiency with production-grade reliability.

before

Hours per batch of manual tagging

Hours per batch of manual tagging

Hours per batch of manual tagging

Hours per batch of manual tagging

after

Minutes of spot-check per batch

Minutes of spot-check per batch

Minutes of spot-check per batch

Minutes of spot-check per batch

The catalogue is now discoverable by:

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partners

Expanding the Partnership

As the early AI and UI initiatives gained traction, the collaboration expanded. AccelOne is now contributing not only to delivery, but to roadmap planning across AI, machine learning, and user experience initiatives.

Austin describes the ongoing dialogue as productive and forward-looking:

"As we work through these initial projects, having the teams weigh in on what the roadmap should look like next has been very productive. We've gained a great set of partners and feedback voices inside of AccelOne."

The partnership now operates at two levels:

  1. Accelerating current initiatives
  2. Accelerating current initiatives

For a platform operating at this level of complexity, that alignment matters.

output

A Model Built on Leverage and Trust

Monetate's goal was simple: Accelerate AI and UI initiatives without slowing the organization down.

What ultimately emerged was a partnership that increased leverage across the entire business.

Senior engineers were embedded quickly. Roadmaps moved faster. AI became part of daily workflows. Collaboration tightened across teams and time zones.

The engagement reduced friction and increased output.

And the relationship continues to expand, with AccelOne contributing to long-term direction beyond the initial delivery.

At this level of complexity, sustainable acceleration is not about adding more people. It's about embedding partners who raise the standard of how the work gets done.

The Outcome

Results

01
Automated bank payment reconciliation, purchase order processing, and customer debt reporting.
02
A modernized ordering portal serving 2,500+ distributors across multiple countries.
03
Existing portal functionality retained through the migration to the new technology stack.
04
Ongoing Level 3 support, testing, and feature development as requirements evolve.
Impact

Business Impact

CCU reduced manual work and human error in recurring internal processes. Distributors gained an ordering experience with improved usability and performance.

Ongoing engineering support helps reduce the risk of disruption to critical distribution systems. The upgraded architecture also supports new features as CCU’s business needs change.

Strategic Value

Modernization That Supports Daily Operations

This engagement shows how operational automation and portal modernization can address different parts of the same business workflow.

Stabilizing the existing platform first, preserving functionality during migration, and continuing support after delivery helped CCU improve its systems without disrupting daily distribution operations.

Technical Architecture

Automation and a Portal Built for Ongoing Development

The RPA solution uses Selenium with Python and runs in Docker containers. The portal evolved from its Python and Django foundation to a React frontend and an Odoo Enterprise backend customized for CCU’s operations.

Component Technology Role
RPA Selenium and Python Automate repetitive browser workflows
RPA deployment Docker Support consistent deployment across environments
Portal V1 Python and Django Improve the existing portal and add features
Portal V2 frontend React Deliver the distributor user interface
Portal V2 backend Odoo Enterprise and Python Implement CCU’s distribution business rules

Frequently asked questions

What software solutions did AccelOne build for CCU?
AccelOne built an RPA system and modernized a distributor ordering portal for CCU. The automation covers bank payment reconciliation, purchase order processing, and customer debt reporting. The portal serves 2,500+ distributors across multiple countries, with ongoing Level 3 support and development.
How did RPA improve CCU’s internal operations?
RPA automated repetitive, rule-based work that previously required manual steps. For CCU, this reduced manual effort and human error in payment reconciliation, purchase order processing, and debt reporting. AccelOne built the automation with Selenium and Python and deployed it in Docker containers.
How was CCU’s distribution portal modernized?
AccelOne first improved the existing Python and Django portal. The team then migrated it to a React frontend and an Odoo Enterprise backend customized with Python. The migration retained V1 functionality and supported better usability, performance, and future feature development.
Why was Odoo Enterprise customized for CCU?
CCU needed a backend that supported its distribution rules across brands and countries. AccelOne customized Odoo Enterprise with Python to implement those requirements and support the order processing logic used by the business.
What does AccelOne’s Level 3 support include?
AccelOne handles complex issues escalated beyond CCU’s internal Level 1 and Level 2 support teams. This includes bugs and other issues that require engineering expertise on the custom platform. The engagement also includes requirements gathering, testing, and ongoing feature development.
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