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CX Intelligence

CX Audit powered by Reasoning Models

Let our AI Audit Agent ingest every Shopify order and Gorgias ticket to deliver a free report with a CX overview, priority fixes, and a 4-week action plan.

Reasoning stack

Reasoning Models ingest 100% of your Shopify + Gorgias data

We stitch orders, fulfillment, and support interactions into a single CX ledger so you know exactly where the customer journey breaks — and what to fix first.

Shopify orders ingested
120M+

Historical + live order data pipelines

Support tickets parsed
48M

Gorgias macros, intents, and sentiment

Insight coverage
360°

Orders × CX × fulfillment signals

Audit turnaround
< 30 minutes

Reasoning Models + AI Agent orchestration

What the audit unlocks

  • Unified CX scorecard that trends NPS, AOV, and cost-to-serve.
  • Reasoning-based insights that surface breakpoints before they become churn.
  • Actionable automation roadmap aligned to savings and customer delight.

Data we analyze

Shopify

Orders, fulfillments, returns, tags, customer cohorts, and subscription data.

Gorgias

Messages, macros, intents, sentiment, SLA breaches, and handle time.

Operations

Logistics events, policy exceptions, and internal tooling metadata.

Data coverage

Our AI Audit Agent follows three ingestion pillars

Reasoning Models normalize orders, transcripts, and fulfillment context to create a CX narrative your team can act on.

Shopify Order Graph

Normalize every order, subscription, and fulfillment event into an LTV-aware data model.

  • Merge historical and current Shopify/Shopify Plus stores
  • Surface refund, reship, churn, and cohort trends
  • Tag journeys that create friction before tickets are opened

Gorgias Ticket Intelligence

Cluster intents, macros, sentiment, and handle time to expose automation-ready moments.

  • Ingest every message, macro, SLA breach, and CSAT
  • Detect breakpoints across channels (email, chat, social)
  • Score deflection candidates for the Reasoning Agent library

Unified CX Ledger

Reasoning Models join revenue + support data to quantify savings and CX lift.

  • Map lifecycle narratives per segment and persona
  • Quantify cost-to-serve vs automation opportunity
  • Produce prioritized stories for your 4-week plan
Deliverables

Free CX audit deliverables

You receive a packaged report plus a four-week execution plan that ties every recommendation to revenue lift or cost savings.

Executive CX Overview

Benchmark NPS, AOV, repeat rate, and ticket volume against similar brands.

Areas for Improvement

Reasoning Models summarize the top friction loops and attach revenue impact.

Four-week Action Plan

Week-by-week playbook covering automation, policy, and workflow changes.

Four-week action plan

Week 1

Data ingestion & baselines

Connect Shopify + Gorgias, validate mappings, and ship a CX health scorecard.

Week 2

Journey diagnostics

Reasoning Models trace root-cause narratives (shipping, payments, product issues).

Week 3

Automation storyline

Align high-volume intents to AI agents, quantify savings, and define safeguards.

Week 4

Execution readiness

Assign owners, stack-ranked backlog, and instrumentation for live reporting.

Report preview

See what a ReasonCX delivery looks like

Flip between operational and customer experience perspectives to preview how Reasoning Models translate your data into executive-ready narratives.

Sample deliverable

TO: COO, VitaWell Labs

FROM: ReasonCX (Autonomous Agent)

DATE: November 10, 2025

SUBJECT: Operational Performance & Fulfillment Bottleneck Report - Q4'25 Critical Review

Executive Summary

VitaWell Labs is experiencing significant operational inefficiencies and fulfillment bottlenecks that are directly impacting customer satisfaction, driving up costs, and threatening Q4 revenue targets. The primary issues include prolonged order-to-ship cycles, a critical inventory management discrepancy, and a high rate of shipping errors impacting our premium subscription service. While demand for our new "Bio-Digest" probiotic line remains strong, our current operational setup is failing to meet this demand efficiently, leading to customer churn and increased Customer Service (CS) overhead. Immediate intervention in warehouse processes, inventory reconciliation, and carrier management is required.

Key Operational Findings & Data

A. Order-to-Ship Cycle Exceeding SLA (Critical)

  • Data: Average "Order Placed to Carrier First Scan" increased from 2.1 days (Oct) to 4.8 days (Nov 1-10), significantly missing the 2-day internal SLA.
  • Impact: Directly contributes to 65% of all "Where Is My Order?" (WISMO) tickets in November.
  • Observation: Peak delays observed for orders containing "Bio-Digest" and "Immune Boost Complex".

B. Inventory Discrepancy & Stock-Outs (High Impact)

  • Data: 18 instances (Nov 1-10) of orders placed for "Bio-Digest" when system showed stock, but physical count revealed zero.
  • Impact: Forced order cancellations (12), backorders (6), and estimated $1,200 in lost sales for the first 10 days of November alone.
  • Root cause (hypothesis): Inadequate real-time inventory sync between Shopify and 3PL WMS; potential mis-scans during inbound receiving.

C. Shipping Error Rate & Damages (Subscription Service Affected)

  • Data: 3.2% of all subscription box shipments (VitaFlex Monthly) reported as incorrect items, missing components, or damaged in transit (vs. 0.8% target).
  • Impact: Leads to costly reshipments, negatively impacts Lifetime Value (LTV) of loyal customers, and generates high-emotion CS tickets.
  • Observation: Common issues include incorrect "VitaFlex Protein" flavor, missing "Omega-3" blister packs, and crushed supplement bottles due to inadequate void fill.

D. Carrier Performance Variability (Financial & Reputation Risk)

  • Data: Delivered Not Received claims rose to 1.5% (Nov) for orders shipped via "Budget Logistics Inc." (vs. 0.5% target for other carriers).
  • Impact: Drives manual intervention, exposes VitaWell to reshipment costs or refunds, and erodes trust.
  • Observation: "Budget Logistics Inc." also shows the highest average transit time, extending delivery windows by an average of 1.5 days.

Financial Implications

  • Direct costs: Estimated $750 in reshipment costs (products & shipping) for the first 10 days of November due to errors, damages, and lost-in-transit orders.
  • Lost sales: $1,200 from "Bio-Digest" stock-outs.
  • Operational overheads: CS team spending an additional 15-20 hours per week on WISMO and error resolution, diverting focus from proactive initiatives.
  • Chargebacks: 2 chargebacks totaling $185 for "Product Not Received" or "Item Not As Described" due to damages.

Strategic Recommendations & Action Plan (Next 30 Days)

A. Streamline Warehouse Pick/Pack & Dispatch (Immediate: 7 Days)

Action: Conduct an urgent 3PL audit focused on "Order Placed to Carrier First Scan" bottlenecks. Identify and eliminate process inefficiencies. Implement daily "hot list" for priority SKUs.

Target: Reduce average order-to-ship time to <2.5 days.

B. Fortify Inventory Management (Immediate: 10 Days)

Action: Implement real-time, bi-directional inventory sync between WMS and e-commerce platform. Initiate a full physical audit of "Bio-Digest" and "Immune Boost Complex" SKUs. Establish a buffer stock alert system.

Target: Eliminate all stock-out discrepancies and backorders due to inventory errors.

C. Enhance Quality Control & Packaging (Immediate: 14 Days)

Action: Review and strengthen 3PL QC checks for subscription boxes. Introduce a pre-shipment checklist for "VitaFlex Monthly". Mandate improved void fill and protective packaging for fragile items.

Target: Reduce subscription error/damage rate to <1.0%.

D. Optimize Carrier Performance (Ongoing: 30 Days)

Action: Review carrier contracts and performance data. Reallocate volume away from "Budget Logistics Inc." to higher-performing partners where feasible, prioritizing reliability over marginal cost savings.

Target: Reduce Delivered Not Received claims to <0.8% across all carriers.

Key Performance Indicators to Monitor (Weekly)

  • Average "Order Placed to Carrier First Scan" (Target: <2.5 days)
  • Inventory discrepancy rate (Target: 0%)
  • Shipping error & damage rate (Target: <1.0%)
  • WISMO ticket volume (Target: -30%)
  • Reshipment & refund costs (Target: -25%)

Conclusion

Addressing these operational challenges is paramount to capitalizing on demand, retaining customer loyalty, and preventing further financial and reputational damage heading into the critical holiday season. A coordinated, urgent effort across Operations, Supply Chain, and Technology is essential.

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