Solvpath was replacing traditional support systems with slow, expensive call center workflows. We built a fully automated self-service support platform that resolves customer issues instantly, reduces operational cost, and captures deep behavioral insights across every interaction so businesses scale support without scaling teams.
AI Solution For Customer Support Without Human Interaction
AI Solution For Customer Support Without Human Interaction
Problem
The client needed a scalable, cost-effective solution to replace their traditional call center support, which had become inefficient and expensive. Every support request triggered a fully manual workflow checking the CRM, fetching order data, responding manually, and updating system logs. During peak volumes, this led to delays, inconsistent responses, and high operational costs. Customers frequently waited too long or had to repeat information across channels, resulting in frustration and increased churn.
Solution
We developed an AI-powered e-commerce support platform that streamlines customer service operations while providing powerful insights into user behavior. The platform replaces manual ticket handling with guided automation flows, AI-driven responses, and real-time data integrations — resolving customer issues instantly and escalating only complex cases to human agents. Built with a focus on functionality, scalability, and cost-efficiency, it transforms how businesses interact with their customers while reducing operational overhead.
Use Cases
Team
Services We Offered
Market Specifics
Deliverables
A Web-Based SaaS Platform
Client Goals
The client engaged us to build a powerful self-service support ecosystem geared toward e-commerce brands. Their specific aims included:
Self-Serve Support
Enable visual, self-serve flows for customers to resolve returns, tracking, and troubleshooting independently.
Reduce Support Costs
Automate inbound tickets and reduce call center overhead by up to 65%.
Agent-Level Support Quality
Maintain live agent-quality support with comprehensive and accurate automated resolutions.
Proactive AI Support
AI-powered Help Desk that anticipates customer intent and delivers relevant answers proactively.
Real-Time Analytics
Captures user behavior and support journey data to provide real-time reporting and optimize workflows.
Quick Launch & Customization
Deploy self-help support within days and tailor it to your brand and use case with ease.
Target Audience
E-commerce Brands
Customer Support Teams
SaaS and DTC Businesses
Operations & CX Executives
Startups & Growing Businesses
Core Features
Smart AI‑Driven Help Desk
AI-powered virtual assistant that delivers fast, relevant answers 24/7 and continuously improves through user interactions.
Guided Visual Support Flows
Step-by-step, click-based resolution paths for order tracking, cancellations, and returns using rich visuals and videos.
Campaign-Led Automation
Outbound email and SMS automation for reactivations, upsells, and payment updates completable in one click.
Customizable Paths and Branding
Visual path builders with brand-specific themes, multilingual support, and built-in feedback surveys.
Real-Time Reporting
Live dashboards for instant visibility into customer behavior, cancellation reasons, and conversion trends.
Actionable Analytics
Analyzes campaign performance and user insights to optimize strategies and drive data-driven decisions.
CRM and Multi‑Channel Integration
Integrates with Konnektive and Sticky.io to deliver context-aware support across email, SMS, and chat.
Live Support Escalation
Escalates complex issues to live agents via email, chat, or phone when automation isn’t enough.
Additional Features
Customizable Support Flows
Easily brandable paths with visual builders and templates.
Multi-Language Support
One-click translation for global customer bases.
Built-In Surveys
Collect real-time feedback during support journeys.
Upsell & Downsell Offers
Recover sales during cancellations without re-entering payment info.
Frictionless One-Click Checkout
QuickPay for existing customers via CRM integrations.
Results
BEFORE
✕
24–48 hr resolution times during peak load
✕
Heavy dependency on call centers
✕
Repetitive manual ticket handling
✕
High cost per support interaction
✕
Fragmented customer data across systems
✕
Slow response across email/chat/SMS
AFTER
✓
60%+ tickets resolved without agents
✓
Instant responses via self-service flows
✓
Unified customer context across systems
✓
65% reduction in support costs
✓
Consistent AI-driven responses
✓
10-day deployment for new clients
Tech Stack
Front-End
Angularjs
Vuejs
Back-End
Python
Deployment Strategy
AWS
AWS Lambda
Cloudfront
ECS Fargate
Api Gateway
SQS
EC2
SNS Route 53
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