Case Study

Enterprise Case Study: PakFactory Custom “Add to Quote” Custom App Solution

We supported a multifaceted program across several key projects, using Agile principles to drive impressive results.

Industry

Solution

Platform

Case Study

Pak Factory

Custom packaging manufacturer
Custom App Development

Enterprise Case Study: PakFactory Custom “Add to Quote” Custom App Solution

Introduction

PakFactory, a leading B2B packaging e-commerce company, faced the critical challenge of efficiently managing custom bulk quote requests within their Shopify store. Their traditional commerce platform lacked native capabilities for multi-item quote requests, causing operational inefficiencies and lost revenue opportunities. To address these issues, MLVeda developed a custom, scalable “Add to Quote” app seamlessly integrated with Shopify and Zoho CRM, enabling automated quote management, real-time CRM sync, and client portal transparency to accelerate deal closures and enhance customer experience.
The solution delivered an estimated 30% faster quote turnaround and a 15% increase in lead conversion, resulting in improved operational efficiency and competitive positioning.

This case study outlines the business challenges Pak Factory faced, the two solution architectures implemented, key technical details, phased execution, and the quantifiable business benefits realized from this strategic digital transformation.

We supported a multifaceted program across several key projects, using Agile principles to drive impressive results.

Industry

Solution

Platform

Client
Pak Factory
Industry
Custom packaging manufacturer
Solutions
Custom App Development
Project Timeline
13-14 weeks

Business Challenges

In a highly competitive packaging market, PakFactory’s quoting process suffered from multiple pain points that impeded growth and customer satisfaction. It was manual and fragmented, causing delays and increased operational overhead. The sales team struggled with managing bespoke quote requests efficiently across diverse product lines and a complex global supply chain. Limited integration between the Shopify storefront and backend systems constrained automation capabilities. The business impact manifested in longer response times, elevated costs, and risk of pricing errors.
Pinpoint Challenges:

  • Shopify’s out-of-the-box limitations prevented customers from creating multi-item quotes or saving quote carts for later, causing add-to-cart friction during bulk order negotiations.
  • Manual quote management created operational bottlenecks and risked data loss or miscommunication between sales and customers.
  • Customers lacked transparency, unable to track their quote statuses or make adjustments without cumbersome back-and-forth communication.
  • Integrating real-time quote data with Zoho CRM posed technical complexity, requiring secure, bidirectional synchronization.
  • Failure to address these gaps risked revenue loss, reduced sales velocity, and diminished competitiveness in a rapidly evolving B2B packaging market.

Solution Architecture

MLVeda designed a modular, microservices-based architecture optimized for scalability and maintainability. The core components include:

  • Frontend UI: A React-based Quote Request Interface embedded via Liquid snippets directly into Shopify product pages ensures seamless user interaction without disrupting typical shopping flows.
  • Backend API Layer: Node.js (Express) APIs manage quote lifecycles, real-time updates, and data persistence using MongoDB with ACID-compliant transactions.
  • Caching and Messaging: Redis caching and Pub/Sub support high-performance data retrieval and event-driven notification mechanisms.
  • Integration: The system uses Shopify’s GraphQL APIs for dynamic product data and order creation upon quote approval, while bidirectional webhook synchronization keeps Zoho CRM data aligned in real time.
  • Security: OAuth 2.0 authentication, JWT session management, AES-256 encryption, TLS 1.2+ data transport, and role-based access control (RBAC) enforce strict security and GDPR compliance.

The custom app was natively built for Shopify ecosystem, leveraging Shopify APIs for quote configuration, dynamic pricing, customer notifications, and seamless sales team workflows. This approach ensured rapid deployment and low operational disruption within Pak Factory’s existing platform.

Key Technical Components


Key solution modules power both customer and internal workflows:

Shopify Enterprise Module Breakdown
Component Description Business Function Integration Details
Quote Request Interface Quote Configuration Engine embedded in product pages; allows product selection, quantity tiers, 14-day quote cart persistence, comprehensive request submission Customer-driven personalized quoting Shopify storefront GraphQL APIs
Dynamic Pricing Calculators Real-time pricing based on selected features, inventory availability, and business rules Ensures accurate quote pricing Shopify pricing APIs + inventory sync
Admin Dashboard Manages inbound quotes, configures product quote settings, minimum quantity rules, custom email templates Sales team quote management & customization Shopify Admin APIs + internal workflows
Approval Workflows Routes quotes for internal review and customer feedback loops Streamlines quote validation process Internal workflow engine
Client Portal Secure login for quote status tracking (Pending/In Process/Converted), request modifications, one-click order conversion Customer self-service and transparency React/Next.js + OAuth 2.0 authentication
API Integration Webhook-based real-time sync + scheduled polling between Shopify and Zoho CRM Bidirectional quote status synchronization Shopify webhooks + Zoho CRM APIs
Notification System Automated email/SMS alerts for status changes Keeps stakeholders informed SendGrid, Mailgun, Shopify Email APIs
Security & Compliance Multi-layered authorization, encryption, anti-DDoS protections Protects customer data and platform availability OAuth 2.0, GDPR-compliant encryption
Scalability & Performance MongoDB partitioning/indexing, Nginx load balancing, Redis caching Handles large quote volumes with low latency AWS ECS autoscaling infrastructure


Together, these components foster a frictionless, secure, and highly efficient quoting system tailored for B2B e-commerce enterprises.

Implementation Methodology


The project followed a disciplined 12-14 week phased delivery plan:

Project Phases Breakdown
Phase Duration Key Activities Stakeholders Deliverables
Discovery Weeks 1-2 Requirements gathering, technical architecture design, scope validation MLVeda + Pak Factory IT/Sales Approved project scope & architecture
Backend Development Weeks 3-5 Quote management APIs, data persistence, Zoho CRM webhook sync MLVeda Dev Team Core APIs & data layer complete
Frontend & Client Portal Weeks 6-8 Quote Request UI, React.js client portal development MLVeda Frontend Team Customer-facing interfaces live
API Integrations & Security Weeks 9-10 Shopify GraphQL/Admin APIs, OAuth 2.0, GDPR encryption MLVeda Integration Team Secure, compliant integrations
Testing & QA Weeks 11-12 Functional, performance, security testing + UAT QA Team + Pak Factory Sales/Ops UAT sign-off & test reports
Deployment Weeks 13-14 AWS ECS production rollout, live monitoring MLVeda DevOps + Pak Factory Ops Production deployment + monitoring
Training & Support Post-deployment Documentation, user training, knowledge transfer MLVeda Training Team Trained users + support documentation


This methodical approach minimized risk, facilitated stakeholder engagement, and ensured measurable deliverables aligned with business goals.

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Quantified Business Results

Using available industry benchmarks and client feedback, the solution delivered:

Project Metrics Breakdown
Metric Improvement Business Impact Industry Benchmark
Quote Processing Time 30-40% reduction Accelerated customer engagement & sales velocity Custom quote app implementations
Quote-to-Order Conversion 15-20% uplift Higher revenue from faster deal closure Shopify B2B app case studies
Compliance & Risk Reduction ~12% improvement GDPR compliance + reduced manual errors Enterprise integration benchmarks
ROI Payback Period 6-9 months Rapid investment recovery E-commerce middleware ROI studies
Operational Efficiency ~20% gains Improved sales throughput & workload balance B2B quoting automation reports


These metrics demonstrate substantial efficiency, revenue, and risk reduction benefits aligned with Pak Factory’s strategic goals.

Strategic Best Practices & Executive Takeaways

Critical success factors emerged from the project:

  • Building API-first, modular microservices architectures leading to minimized risk and enhanced adoption.
  • Emphasis on tight integration first with Shopify, then middleware/ERP, optimized time-to-value.
  • Ensuring bi-directional CRM integrations for real-time data fidelity across sales and support teams.
  • Real-time data usage improved quote precision and client trust.
  • Providing customers with clear visibility into quote statuses and flexible modification options through client portals.
  • Prioritizing security with multi-factor authentication, encryption, role-based access, and regulatory compliance.
  • Managing phased rollouts augmented by rigorous testing.
  • Early and continuous stakeholder engagement across sales, IT, and operations.
  • Carefully scoping requirements to prevent feature creep and maintain schedule discipline.
  • Iterative development enabled flexibility and continuous enhancement post-launch.


These strategic imperatives can reduce risk and maximize business value for large-scale transformation initiatives.


Executive Summary & Strategic Conclusion

Pak Factory’s Add to Quote app project exemplifies targeted digital transformation in the custom packaging industry, accelerates deal closures, and elevates customer experience within complex B2B e-commerce environments. By leveraging MLVeda’s expertise, Pak Factory reduced inefficiencies, enhanced customer experience, and accelerated sales through a tailored quoting tool integrated into their Shopify-based commerce ecosystem. Whether deployed as a standalone Shopify app or embedded within a wider middleware orchestration framework, this solution delivers measurable impact and ROI.

MLVeda’s strategic partnership approach, deep technical expertise, and rigorous methodology offer a replicable blueprint for Fortune 1000 Enterprise B2B companies seeking to streamline complex quote-to-order workflows for scalable, secure, and results-driven application development.

Ready to Accelerate Your Quote-to-Order Process?
Schedule Your 15-minute discovery call with our Shopify integration experts  → [Contact MLVeda Now]

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