Q2 2025 HOME DEPOT Products
Quantitative Analysis of Return to Vendor (RTV) Records
By thoroughly analyzing the provided return data and contextualizing it with industry benchmarks, the aim is to establish an objective data foundation, identify core issues and patterns at a macro level, and provide direction for subsequent diagnostic analysis and strategic formulation.
1.1 Overall Return Overview: Four-Month Snapshot
The analysis sample covers 36 independent Return to Vendor (RTV) transactions from March 18, 2025 to June 30, 2025 (1). During this period, the total number of returned items reached 384, with a total value of
$13,376.40. The average value per return was $371.57.
Further analysis of the data reveals that the overall financial impact is heavily driven by a few high-value return events. For example, a single return, record #31 (reason: "customer choice"), amounted to $2,155.74, accounting for 16% of the total.
1.2 Temporal and Geographical Distribution Patterns
Time Trend Analysis:
Returns occurred within four months, but showed a clear month-over-month increasing trend in both quantity and amount, peaking especially in June.
March: 1 return, amount $34.77
April: 5 returns, amount $2,155.81
May: 13 returns, total amount $3,407.56
June: 17 returns, total amount $7,778.26
The return amount in June is almost double the sum of the previous three months. This sharp increase needs to be given high priority, as it may indicate a rapid deterioration of an operational issue recently. This suggests that the new warehouse and packing team from May are directly responsible for and suspected of negligence regarding the returns.
Geographical Distribution Analysis:
Return records span 22 states across the US, but there is a clear geographical concentration, especially in the Pacific Northwest and California.
Oregon (OR): 8 returns, total amount $2,364.44
Washington (WA): 3 returns, total amount $2,051.46
California (CA): 5 returns, total amount $878.39
These three states collectively contributed 15 out of 36 returns (41.7% of the total), and $5,294.29 (39.6% of the total) of the total return value. This geographical concentration is not accidental. Combining this internal data with external research can reveal deeper reasons.
The alignment of internal data (high concentration of returns in the Pacific Northwest) with external intelligence (recognized logistical bottlenecks in the region) forms a strong hypothesis: the company's packaging standards and/or partnered logistics carriers are not effectively addressing the unique supply chain pressures of the Pacific Northwest, leading to a higher rate of damaged goods. This finding elevates the problem from a general "We have a lot of returns in Oregon" to a specific, investigable, and solvable operational level: the performance of regional logistics partners and the adaptability of packaging strategies.
To illustrate these patterns more clearly, the following table categorizes and summarizes the return data.
Table 1: Summary by Return Reason Code
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| 15 | 41.7% | 146 | 38.0% | $5,085.57 | 38.0% |
| 10 | 27.8% | 89 | 23.2% | $3,094.63 | 23.1% |
| 6 | 16.7% | 50 | 13.0% | $1,753.87 | 13.1% |
| 2 | 5.6% | 66 | 17.2% | $2,294.89 | 17.2% |
| 2 | 5.6% | 22 | 5.7% | $764.96 | 5.7% |
| 1 | 2.8% | 11 | 2.9% | $382.48 | 2.9% |
| 36 | 100% | 384 | 100% | $13,376.4 | 100% |
This table clearly shows that “customer choice” is the most frequent reason for returns, but in terms of average value per item, “supplier shipping error” has an equally significant impact.
Table 2: Geographic Distribution of Returns
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WA | 3 | $2,051.46 |
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OR | 8 | $2,364.44 |
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CA | 4 | $878.39 |
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MI | 2 | $208.63 |
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KY | 2 | $139.08 |
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| 17 | $7,734.40 |
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This table visually highlights the "hotspots" of return issues, confirming the need to prioritize investigation and improvement resources in the Pacific Northwest.
2.1Operational Process Failures: Damage, Defects, and Errors
Unlike issues related to subjective expectations, such as "Customer Choice," another major category of returns directly stems from objective process failures within the physical supply chain. These issues collectively account for 53.4% ($7,143.39) of the total return value, representing significant financial losses that can be directly controlled through process improvements.
Packaging Damaged/Missing ($3,094.63): "9 Packaging Damaged/Missing" is the second highest value return reason, accounting for 25% (1) of all return incidents. This represents a direct failure in the physical supply chain. Industry data shows that up to 80.2% of returns may be due to product damage (2), and in our data, this reason is particularly prominent in Oregon, Pennsylvania, and Kentucky. Specifically, the previously mentioned Pacific Northwest logistics challenges (6) corroborate the high damage rates we observe in that region, indicating that our packaging solutions or logistics partners cannot withstand the pressures of specific shipping routes.
Manufacturer Defect ($1,753.87): "1 Manufacturer Defect" led to 6 returns in total, directly pointing to a loophole in product Quality Assurance (QA). The problem is very likely related to packaging damage or missing items.
Supplier Shipping Error ($2,294.89): While there were only two instances of "13 Supplier Shipping Error," their exceptionally high average value highlights the severe financial consequences of warehouse picking and packing errors. Receiving the wrong item is a common return reason in e-commerce, with approximately 23% of shoppers having returned items for this reason (2). These two high-value mis-shipment incidents (#2 and #14) urgently require root cause analysis to determine whether they are due to human error, system issues, or process flaws.
These three categories of returns collectively paint a picture of operational vulnerabilities. They point to three distinct, quantifiable areas for improvement: packaging and shipping, supplier quality management, and warehouse fulfillment accuracy. Unlike "soft" issues that affect customer perception, these are "hard" problems that can be addressed by investing in better packaging materials, stricter supplier audits, and improved warehouse technology.
2.2Key Risk Analysis: Safety Recall
Among all return reasons, “21 Safety Recall” poses the most significant potential threat. Two returns (#35 and #36) in late June 2025 were flagged for this reason, totaling $764.96 (1). While the direct financial cost is not high, the underlying risk is substantial. We need the customer service team to immediately contact the HD team to understand the reason for these returns.