AI Action Queue
Order #14209 Nubé Shelter check
Draft Ready
Refund dispute Nubé query
Policy Match
CASE STUDY: RETROSPECTIVE
Sierra Madre
AI-Powered Customer Support Platform
A case study showing how our team automated Sierra Madre’s customer support workload: queries, order checks, refunds, FAQs, product issues and dispute evidence in one intelligent operating workflow.
tickets/agent/day target
0
+
zero-edit AI draft target
0
%+
Zoho + Shopify + Payments + 3PL
0
hub
Trusted by 1000+ Brands
Sierra Madre Overview
What Sierra Madre Does Premium Outdoor Gear Brand
Premium outdoor gear brand with a direct-to-consumer customer relationship. Founded around a passionate gear-failure origin story and the wildling community, Sierra Madre manufactures highly intricate products including the Nubé Shelter, Ninox FlatLay Hammock, Puffle quilts, Hot Pocket, and survival gear. Product modularity and configuration options produce a complex, multi-touch customer support matrix.
Nubé Shelter System
Zoho Desk & Shopify API
Advanced 3-in-1 modular sky shelter protecting outdoor enthusiasts from torrential downpours, insects, and harsh winds. High fulfillment configuration.
Ninox FlatLay Hammock
Shopify API & Stripe Logs
Symmetrically engineered flat lay hammock utilizing specialized nylon weave technology to maximize comfort. Demands rigorous QA support checks.
The Challenge
Where The Operation Was Slowing Down
Operational efficiency suffered as support queues expanded, creating a bottleneck that directly impacted consumer satisfaction metrics.
01
Ticket Backlog
Thousands of monthly email & SMS inquiries regarding custom configurations handled manually, causing long peak-season delays.
02
Fragmented Lookup
Support agents forced to manually navigate 4-5 tool tabs: Zoho Desk, Shopify admin, ShippingEasy fulfillment, Stripe, and PayPal.
03
Policy Compliance Risk
Inconsistent manual interpretation of complex return, warranty, and modular gear replacement policies between junior/senior agents.
04
Refund & Dispute Exposure
Lack of automated logs for high-value gear returns left Sierra Madre vulnerable to chargeback disputes and inventory leakage.
05
No Knowledge Reusability
Agents spend hours writing repetitive manual replies for standard survival gear setup questions, with zero automated learning loop.
Operational Impact: Customers wait longer, agents work harder, and management has less auditable proof when financial disputes arise on high-value gear.
The Solution
What We Built For Sierra Madre
A highly controlled, enterprise-grade AI operating layer that bridges customer communication channels directly with backend logistics.
STAGE 01
Understands
Ingests raw emails & customer tickets instantly.
STAGE 02
Investigates
Checks Shopify accounts and 3PL shipping logs.
STAGE 03
Drafts
Composes policy-grounded replies instantly.
STAGE 04
Approves
Agent validates and triggers with 1 click.
STAGE 05
Learns
Logs corrections to train agent memory loop.
DASHBOARD
Dashboard Features
Real-time queue health, policy coverage, and dispute risk monitoring.
Secure Approval Queue
Guarantees human oversight for any transaction over $100, protecting company assets.
Pending AI Drafts
Generates high-fidelity support email drafts that agents can verify in real-time, reducing response times by 80%.
Refund Eligibility Engine
Scores returns based on time windows, warranty policies, and gear damage reports before authorizing refunds.
Multi-Agent Query Handling
Splits complex support tickets into parallel processes for policy check, shipping lookup, and order status.
Audit-Proof Document Exports
Generates tamper-proof PDF support trails for dispute defense against banking chargebacks.
Workflow Integration
How A Ticket Becomes A Finished Action
Streamlined operating sequence showing how artificial intelligence handles intensive routing while keeping human agents securely in control.
Design Principle: AI drafts fast, humans keep authority. Lower processing cost without brand safety risk.
Technical Stack
A Modular Platform, Not A Fragile Script
Designed for security, reliability, and enterprise scale, the platform architecture segregates processing logic from data schemas.
Channels
- Zoho Desk tickets
- Direct Email
- Twilio SMS
- In-app support widget
AI Core Engine
- FastAPI / Celery backend
- Azure OpenAI model layer
- RAG with vector database
- Contextual system prompts
Data Layer
- MongoDB database
- Azure Vector Search
- Secure audit logs
- Agent correction registry
Business APIs
- Shopify Admin sync
- Stripe payment logs
- PayPal transaction API
- ShippingEasy fulfillment
Web Dashboard UI
- React frontend dashboard
- Agent evaluation panel
- Real-time query tracking
- Detailed analytical reports
Security & Adherence Standards
The platform operates completely under SOC2 Type II guidelines. All user parameters, payment tokens, and logistics data are secured with TLS 1.3 in-transit and AES-256 at-rest. Model calls are executed in private endpoints to avoid data leakages.
Specialist Network
Specialized Agents Working As One Team
Instead of a single unstructured prompt, our platform deploys coordinated micro-agents, each highly trained in specific business roles.
- Master Routing Agent
Interprets intent from inbound tickets. Parses user mood, urgency, and category. Dispatches sub-tasks to specialized domain agents.
- Shopify Agent
Pulls accurate historical records, active cart profiles, billing data, shipping addresses, and cancellation logs directly from Shopify APIs.
- Shipping & 3PL Agent
Integrates with ShippingEasy and third-party logistics to trace physical package status, carrier exceptions, and delivery estimates.
- Refund Auditor
Queries financial limits and scores customer refund requests against strict refund windows before preparing draft approvals.
- Dispute Defender
Piles structural data logs, delivery proof signatures, and messaging histories into a single document to protect against chargebacks.
- Policy Specialist Agent
Renders exact policy answers regarding custom gear warranties, Ninox replacements, and Nubé modular upgrades.
- Retraining Engine
When a human agent edits a drafted ticket reply, our continuous learning system automatically registers the correction. The delta is analyzed, validated, and loaded into local vector memories weekly to prevent similar drift.
Continuous Training Engine
When a human agent edits a drafted ticket reply, our continuous learning system automatically registers the correction. The delta is analyzed, validated, and loaded into local vector memories weekly to prevent similar drift.
Outcomes
What Changes After Platform Implementation
Empirical operational metrics showing how Sierra Madre redefined customer interaction and backend team capabilities.
0
+
Target solved tickets/agent/day
Up from 65 average prior to our system’s launch
0
%+
AI zero-edit resolution rate
Target accuracy rate across common inquiries
Seconds
AI draft generation time
Contextual lookup and response prepared instantly
1
-Click
PDF/CSV dispute proof export
Generates secure data packets for bank chargeback defense
Before Implementation
- Manual lookup in 4-5 tool tabs.
- Inconsistent responses across junior reps.
- Refund processing without formal logs.
- Zero automated training or feedback loop.
With MT Pixels Platform
- Unified single-screen review console.
- Consistent, policy-grounded AI drafts.
- Security approvals and auditable database trail.
- Automatic weekly learning loop based on agent edits.