Built for Scale
Turning Distribution Complexity into Advantage
How a Leading FMCG Brand Modernized Dealer Operations with AI-Powered Distribution Management
A leading snacks manufacturer partnered with Myridius to modernize a legacy Dealer & Distributor Management System that slowed onboarding, disrupting sales, and limiting visibility at scale. By implementing an AI-powered DDMS on Salesforce Consumer Goods Cloud—enhanced with Agentforce and offline-first mobility—the company transformed dealer onboarding and field execution into a resilient, scalable, and insight-driven operation across 12 states.
Fast-Moving Consumer Goods
Employee Count
1500+
Myridius Service Offering
Salesforce, AI, Enterprise Application Services (EAS), Automation
Preparing Operations for the Next Phase of Growth
The client is a market-leading FMCG snacks brand with a vast distribution footprint operating across 12 states, managing relationships with 1,200+ distributors, and serving over 450,000 retailers.
As the business expanded, dealer onboarding, order execution, and sales visibility became increasingly complex. What once worked at smaller scale manual applications, disconnected systems, and legacy infrastructure began to slow the organization down.
Sales and Operations teams spent excessive time managing exceptions instead of driving growth. Dealers lacked transparency into application status and performance. Leadership lacked a unified view of demand, supply, and sales execution.
The challenge wasn’t just efficiency…it was resilience, visibility, and scalability.
From Operational Friction to Measurable Business Impact
Rather than viewing this engagement as a simple system replacement, the transformation is best understood by examining what fundamentally changed.
|
Operational Area |
Before Myridius |
After Myridius |
|
Dealer onboarding |
Manual, paper-based applications with long delays |
Digital onboarding with real-time status visibility |
|
Onboarding timelines |
Extended, inconsistent approval cycles |
~60% faster onboarding time |
|
Sales visibility |
Fragmented, incomplete dealer data |
Unified “Dealer 360” across primary, secondary, tertiary sales |
|
System reliability |
Frequent outages and scalability limits |
Stable, cloud-based platform built for scale |
|
Field execution |
Dependent on connectivity |
Offline-first mobile execution |
|
Dealer support |
High volume of manual inquiries |
40% reduction via AI self-service |
|
Decision-making |
Reactive, data-lagged |
Proactive, insight-driven |
Why Myridius? More Than a Technology Upgrade
The client needed more than a new platform. They needed a partner who understood how distribution complexity shows up in the real world and how to simplify it without introducing risk.
Myridius brought
-
Deep consumer goods and distribution domain expertise
-
An AI-first, agentic approach grounded in real workflows
-
Proven Salesforce Consumer Goods Cloud architecture
-
A collaborative, outcome-driven delivery model
Rather than digitizing broken processes, Myridius rethought dealer operations end-to-end.
A Distribution Platform Built for Scale, Resilience & Insight
Myridius designed and implemented a modern Dealer & Distributor Management System using Salesforce as the core platform, reinforced with AI and offline-first capabilities.
Myridius Delivered
Dealer portal & offline
mobile app
A self-service dealer portal built on Experience Cloud, paired with an offline-capable mobile app that ensures uninterrupted field execution even in low-connectivity regions.
End-to-End Sales Operations Digitization
Presales, van sales, warehouse sales, and inventory movement were unified into a single operational flow, eliminating silos & manual handoffs.
Automated Documentation & Invoicing
Invoice generation and supporting documentation were automated to remove bottlenecks and improve accuracy.
Agentforce AI Assistant
An AI-powered assistant provides dealers with instant answers on onboarding status and process requirements reducing dependency on support teams and improving partner experience.
Real-Time Visibility & Reporting
Dashboards provide instant insight into paid, unpaid, and pending jobs, with full drill-down visibility into deposits, back-charges, and adjustments.
Automation Without Losing Control
When a dealer submits an onboarding application, Agentforce surfaces relevant requirements and knowledge in real time. Salesforce workflows automate verification and approvals. Dealers track progress transparently through the portal or AI assistant. Field teams continue operating offline when needed, syncing automatically when connectivity returns.
Every interaction is tracked.
Every decision is visible.
Technical Debt Paralysis
Years of accumulated complexity made even minor updates risky and time-consuming
Performance Degradation
Page load times suffered during high-traffic events, directly impacting user experience and conversion rates
Scalability Ceiling
Traffic spikes caused system slowdowns despite significant infrastructure investment
Development Bottleneck
Creating new features or components takes days per element. This throttled their marketing agility, limiting the ability to maintain reusable components and slowing parallel development
Accessibility Gaps
Creating new features or components takes days per element. This throttled their marketing agility, limiting the ability to maintain reusable components and slowing parallel development
Edge-first block-based architecture for maximum performance
Serverless middleware (AWS Lambda, API Gateway)
Intelligent caching layer (AWS CloudFront, S3 preloading)
Multi-environment deployment (Latest, Stage, Production)
Enterprise-grade security (AWS Secrets Manager integration)
1
Cursor AI Development Assistant integrated into developer workflows enabled component generation with automated documentation
2
Natural language-driven component generation by prompt-driven engineering
3
Intelligent code scaffolding aligned to organizational standards
4
Automated testing and documentation generation along with continuous quality enforcement and pattern consistency
Enterprise coding standards
Responsive design patterns
Security best practices
Testing frameworks
1
70-80% reduction in defect resolution effort
2
Fewer regression issues in production
3
Accelerated QA cycles with standardized EDS development templates
4
Reduced code review overhead & Consistent user experience across all properties
Lambda function scaffolding with proper error handling
AWS Secrets Manager integration for credential management
API Gateway routing configurations
Cron job setups for cache pre-warming
Edge compute functions for personalization
Custom business logic & user experience optimization
Architectural decisions & system design
Complex problem-solving & innovation
Strategic feature development
Impact That Went Beyond Speed
This transformation delivered more than faster onboarding.
-
Dealers gained transparency and confidence in the process
-
Sales and Operations teams reclaimed time from manual work
-
Leadership gained actionable visibility into sales and execution
-
System outages and sales disruption were eliminated
-
The platform scaled without adding operational overhead
Key Success Factors
| Standards-First Approach |
| Training AI with organizational standards ensured consistency without manual enforcement backed by automated validation workflows and strengthened enterprise modernization efforts. |
| Iterative Refinement |
| Continuous feedback loops improved AI output quality over time. |
| Measurable Outcomes |
| Clear metrics tracked efficiency gains and business impact across high-traffic digital platforms supported by generative AI workflows. |
| Hybrid Expertise |
| Human architects guided strategy while AI accelerated execution. |
| Strategic AI Integration |
| AI wasn't bolted on—it was architected into the development workflow from day one. |
Looking Forward
The Competitive Advantage
This transformation wasn't just about migrating technology—it was about establishing a new operating model where -
| Speed becomes a strategic weapon |
| Quality scales automatically |
| Innovation capacity multiplies |
| Technical debt stops accumulating |
| Developer talent focuses on differentiation |
As AI-assisted development matures, the efficiency gains compound, creating widening competitive moats for organizations that embrace this methodology early.
Operational Confidence, Built Into Distribution
In high-volume consumer goods environments, inefficiencies in dealer operations quietly erode margins and slow growth. This case shows how modernizing distribution management when done with the right architecture and AI controls can become a strategic advantage.
If your organization is managing dealer onboarding, field execution, or distribution visibility across a growing network, Myridius can help you simplify, scale & stay in control.
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