Key Takeaways
- 62% of supply chain leaders say they are already using or planning to use data-driven technologies to improve customer experience
- 91% of buyers say they are more likely to use a supplier with a digital order-tracking experience
- 47% of customers expect real-time updates on shipment status
- 83% of customers expect companies to provide a consistent experience across channels
- 62% of organizations plan to increase spending on customer experience technologies in the next 12 months
- 80% of businesses report that improving supply chain visibility has become more important due to customer expectations and supply volatility.
- On-time delivery is 35% more likely to succeed when supply chain teams use real-time visibility
- Orders with accurate estimated arrival times (ETAs) have a 2.6x higher likelihood of on-time customer satisfaction ratings
- 48% of companies use customer satisfaction (CSAT) scores to manage supply chain performance
- Inventory carrying costs typically run 20%–30% of inventory value annually, amplifying the cost impact of forecast and fulfillment errors
- The average cost of poor data quality is $12.9 million per year for organizations (Gartner estimate)
- A 10% improvement in delivery performance can reduce chargebacks and deductions by 2%–5% in retail logistics contracts
- The customer service software market is forecast to reach $XX billion by 2030 (forecasted growth cited in the report)
- The global transportation management system (TMS) market is expected to reach $XX billion by 2032
- The global warehouse management system (WMS) market size was $XX in 2023
Real time visibility and accurate delivery estimates are key to improving customer experience and on time performance in supply chains.
Industry Trends
Industry Trends Interpretation
User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics Interpretation
Cost Analysis
Cost Analysis Interpretation
Market Size
Market Size Interpretation
Customer Expectations
Customer Expectations Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Megan Gallagher. (2026, February 13). Customer Experience In The Supply Chain Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-supply-chain-industry-statistics
Megan Gallagher. "Customer Experience In The Supply Chain Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-supply-chain-industry-statistics.
Megan Gallagher. 2026. "Customer Experience In The Supply Chain Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-supply-chain-industry-statistics.
References
- 1supplychaindive.com/news/supply-chain-customer-experience-data-driven-technologies-2020/574092/
- 2ibm.com/thought-leadership/institute-business-value/report/customer-experience-supply-chain
- 3businesswire.com/news/home/20210526005005/en/47-of-Consumers-Expect-Real-Time-Shipment-Updates-DataShows
- 4supplychainbrain.com/articles/33965-late-deliveries-top-customer-experience-problem-survey
- 5salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 6gartner.com/en/documents/4023340
- 8gartner.com/en/documents/4001238
- 10gartner.com/en/documents/4022038
- 17gartner.com/en/newsroom/press-releases/2016-02-08-gartner-says-data-quality-failure-is-costly
- 7iata.org/en/publications/store/economics/air-cargo-2022-visibility-report/
- 20iata.org/en/publications/store/statistics/industry-report-cargo-loss-damage/
- 9jda.com/resources/press-room/jda-customer-experience-eta-satisfaction-study/
- 11onlinelibrary.wiley.com/doi/10.1111/j.1467-8462.2008.00262.x
- 12worldbank.org/en/topic/transport/brief/transport-and-trade-logistics
- 13sciencedirect.com/science/article/pii/S1366554516300440
- 14ncbi.nlm.nih.gov/pmc/articles/PMC7437134/
- 15tandfonline.com/doi/abs/10.1080/00207543.2020.1747900
- 16apics.org/apics-for-business/apics-guides/the-cost-of-carrying-inventory
- 18supplychain247.com/articles/contract-deductions-delivery-performance
- 19about.usps.com/publications/annual-report/2023/financials.pdf
- 21imarcgroup.com/customer-service-software-market
- 23imarcgroup.com/warehouse-management-system-market
- 22alliedmarketresearch.com/transportation-management-system-market-A16035
- 24alliedmarketresearch.com/supply-chain-management-software-market-A15847
- 25census.gov/retail/mrts/www/data/pdf/ec_current.pdf
- 26ibisworld.com/industry-statistics/market-size/logistics-services.html
- 27precedenceresearch.com/supply-chain-analytics-market
- 28ups.com/assets/resources/media/en_US/shipper/ups-2021-consumer-shipping-survey.pdf
- 29ups.com/assets/resources/media/en_US/ups-2022-ecommerce-consumer-report.pdf







