---
title: Retail
description: This case study outlines how retailers can use PulseCX
---

<https://sparkcx.co/retail#mainContent>

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Case Study: Retail | PulseCX

 Retail Case Study

# Solving the "Ghost Delivery" Crisis

 Client: National Omnichannel Retailer ($2B+ Annual Revenue)

## The Friction Point

 The retailer noticed a 12% spike in contact center volume and a dip in repeat purchase rates. Traditional "sampling" suggested general shipping delays, but the true root cause remained hidden. The retailer was losing millions in potential customer lifetime value due to opaque logistics friction.

## The Single PulseCX Insight

Tracking API Mismatch

 By analyzing 100% of interactions (Voice, Chat, and Email), PulseCX identified a specific, recurring narrative: Customers were receiving "Order Delivered" notifications for high-value home goods that never actually arrived.

 PulseCX’s GenAI identified that these weren't simple thefts; they were systemic **data mismatches** between a third-party last-mile carrier and the retailer’s tracking API.

 Traditional sampling saw these as "Stolen Packages," but PulseCX saw the carrier data error.

## The Multi-Persona Impact

Cross-Functional Transformation

### VP of Operations & Supply Chain

**Action:** Used the PulseCX "Carrier Heatmap" to identify that 88% of the missing orders originated from a single regional carrier.

Result: Reducing "Where is my order?" (WISMO) calls by 24% in 30 days.

### VP of Customer Experience & Marketing

**Action:** Identified that the automated "How did we do?" emails were being sent before the actual delivery occurred, infuriating customers.

Result: 8-point recovery in NPS and a decrease in negative social media mentions.

### VP of Finance / CFO

**Action:** Quantified the exact "Cost of Friction." PulseCX showed shipping errors were costing $1.2M monthly in expedited replacements and refund fees.

Result: New API investment paid for itself in less than 15 days.

### CIO & Head of AI Strategy

**Action:** Integrated PulseCX’s real-time "Tech Error Alerts" directly into the DevOps Slack channel.

Result: Reducing Mean Time to Resolution (MTTR) by 60%.

## The PulseCX ROI Summary

| Metric | After PulseCX (90 Days) | Before PulseCX |
| --- | --- | --- |
| Contact Center Volume | 76% (24% reduction) | 100% (Baseline) |
| Refund/Replacement Spend | $340k / mo | $1.2M / mo |
| NPS Score | 56 (+14 points) | 42 |
| Strategic Visibility | 100% (Complete Coverage) | 2% (Sampling) |

> "We replaced 2% manual sampling with 100% analysis to identify why 'Order Delivered' notifications were being sent for unreceived goods. PulseCX surfaced the systemic carrier data mismatch that traditional surveys missed, enabling us to resolve the friction immediately, recover our customer sentiment, and protect our long-term retention metrics."

— VP of Customer Experience

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