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Multi-Brand Support Consolidation

Curology managed manual processes across email, SMS, forms, and chat for two brands (Curology and Agency). Human intervention was required for every interaction, and chat handled only 5% of inquiries.

📌Key Takeaways

  • 1Multi-Brand Support Consolidation addresses: Curology managed manual processes across email, SMS, forms, and chat for two brands (Curology and Ag...
  • 2Implementation involves 5 key steps.
  • 3Expected outcomes include Cost Reduction: 65%.
  • 4Recommended tools: decagon.

The Problem

Curology managed manual processes across email, SMS, forms, and chat for two brands (Curology and Agency). Human intervention was required for every interaction, and chat handled only 5% of inquiries.

The Solution

Decagon automated support and unified management of both brands under one system with separate playbooks and AI agents tailored to each brand's tone and policies.

Implementation Steps

1

Assess Current Challenges

Curology managed manual processes across email, SMS, forms, and chat for two brands (Curology and Agency). Human intervention was required for every interaction, and chat handled only 5% of inquiries.

Pro Tips:

  • Document existing pain points and their business impact
  • Identify key metrics to track improvement
  • Map current workflows that need automation
2

Design the AI Solution

Plan the implementation of multi-brand support consolidation using Decagon capabilities.

Pro Tips:

  • Configure Decagon for your specific requirements
  • Define success criteria and KPIs upfront
  • Identify integration points with existing systems
3

Implement and Configure

Decagon automated support and unified management of both brands under one system with separate playbooks and AI agents tailored to each brand's tone and policies.

Pro Tips:

  • Start with a pilot deployment on a subset of workflows
  • Test thoroughly with real-world scenarios
  • Train team members on the new system
4

Monitor and Optimize

Track performance metrics, gather feedback, and iterate on the configuration to improve outcomes.

Pro Tips:

  • Review performance dashboards weekly
  • Collect qualitative feedback from end users
  • Adjust thresholds and rules based on real data
5

Scale Across the Organization

65% cost reduction across support operations, with chat volume growing from 5% to 80% of all tickets while maintaining brand-appropriate responses for both product lines.

Pro Tips:

  • Document best practices from the pilot phase
  • Create onboarding materials for new teams
  • Set up regular review cadences to maintain quality

Expected Results

Cost Reduction

6 months

65%

Chat Volume

3 months

80% of tickets

Brand Coverage

Immediate

2+ brands unified

Agent Productivity

6 months

3x improvement

ROI & Benchmarks

Typical ROI

300-500%

within 6-12 months

Time Savings

50-70%

reduction in manual work

Payback Period

3-5 months

average time to ROI

Cost Savings

$150K-$500K annually across brands

Output Increase

3x agent productivity improvement

Implementation Complexity

Technical Requirements

Medium6-10 weeks typical timeline

Prerequisites:

  • Brand-specific playbooks
  • Unified CRM access
  • Cross-brand escalation workflows

Change Management

High

Significant organizational change. Requires executive sponsorship and comprehensive change management.

Recommended Tools

Frequently Asked Questions

Curology managed manual processes across email, SMS, forms, and chat for two brands (Curology and Agency). Human intervention was required for every interaction, and chat handled only 5% of inquiries.
Decagon automated support and unified management of both brands under one system with separate playbooks and AI agents tailored to each brand's tone and policies.
65% cost reduction across support operations, with chat volume growing from 5% to 80% of all tickets while maintaining brand-appropriate responses for both product lines.
This use case is particularly relevant for E-commerce organizations, though the principles apply broadly to any team facing similar challenges.
Getting started requires Decagon access and integration with your existing systems. Most deployments begin with a pilot phase to validate results before scaling.

Last updated: February 2, 2026

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