Solution and Objectives
We sought to deliver an intelligent web application enabling:
For Customers:
- Self-configure specialty window and door orders across endless size, material, design, and functionality combinations meeting exact custom project needs.
- Get real-time feasibility validation against constraints, accurate pricing instantly tied to selections, and photo-realistic 3D visualizations setting reliable expectations before purchase.
- Complete secure end-to-end transactions integrated with production and shipping enabling on-time, flawless delivery assurance.
For the Business:
- Scale order intake exponentially by leveraging digital reach and self-guided selling tools without reliance on limited field reps.
- Unlock 10x+ SKU potential through dynamic customization workflows aligned to in-house production expertise. Reduce lost sales.
- Gain deep visibility into configuration analytics revealing profitable solution trends and improving demand forecasting intelligence.
- Build customer intimacy over repeat engagements via saved project preferences and account rep assignments.
At the core, the vision focused on blending configuration capabilities allowing endless customization freedom with guided selling mechanisms setting expectations. Further, turning the buying experience into an educational interactive journey would position our clients as technical advisors commanding premiums.
This required overcoming the paradox of flexibility versus user-friendliness. By methodically planning ranges, intelligently constraining invalid selections, and photo-realistically showcasing outcomes at each step, customization complexity could get packaged into a relatable process.
Technology Planning
Getting the guided product configurator capabilities right necessitated meticulous planning across chosen technology stacks:
- Laravel Architecture Blueprinting:
The Laravel backend engineering team reviewed implementation complexities around dynamic pricing, 3D visualization, and feasibility analysis needs requiring complex real-time data orchestration. Modular decoupling was planned to prevent monolith collapse points under various loads. - MySQL Data Modeling:
We invested cycles reviewing specialized schema designs balancing transactional efficiency with analytical reporting needs. Advanced indexing, query optimizations, partitions, and selective NoSQL decisions were evaluated for managing exponential combinations. - Customer Journey Mapping:
We storyboarded 100+ variation decision trees based on window/door types to determine optimal balancing between customization flexibility vs. controlled experiences given backend constraints. Persona-based prioritization focused on architects and contractors highlighted must-have parameters. - Infrastructure Provisioning:
Detailed specifications were developed for hosting infrastructure requirements from security, reliability to scalability perspectives. Test runs emulated various usage peaks along with failover methods given uptime criticality.
The extensive coordination efforts established guiding assumptions around expected outcomes, user journeys, and technical capacities. Had we rushed into implementation, lack of alignment would have guaranteed costly rework postponing ROI. Our diligence upstream proved invaluable.