Supply Chain Management In The Accessories Industry Statistics

In 2022, global sea freight demand reached 119.6 million TEU, which was up 3% compared to 2021 (while freight rates and congestion varied by lane). [1]

UNCTAD reports global seaborne trade in 2022 at about 12.2 billion tons. [2]

UNCTAD estimates that maritime transport emissions in 2022 were about 1.1% of global CO2 emissions (shipping fuel combustion). [3]

According to UNCTAD, the average delay time associated with port congestion in 2022/2023 remained substantial, with “time lost” often measured in days (port congestion affects dwell times). [4]

OECD (Trade Facilitation Indicators) reports that improvements in trade facilitation can reduce customs clearance times by up to 30% (range depends on country baseline). [5]

World Bank Doing Business historical dataset summary (on trading across borders) shows average border compliance time can be multiple days, with customs compliance a large portion (baseline examples used in reports typically range ~hours to days). [6]

Freightos data cited by major logistics summaries indicates that 2021-2022 spot ocean freight prices were several multiples of pre-pandemic levels (e.g., “more than double” for many lanes). [7]

JOC reports that port dwell times can extend to roughly 5-10+ days during peak congestion periods (industry monitoring). [8]

IATA estimates that delays/disruptions cost the aviation sector and supply chains billions annually; for 2022, IATA estimated disruptions cost about $2.2B per year across airlines (figure widely cited in airline reliability studies). [9]

The World Bank Logistics Performance Index (LPI) 2023 uses 6 components and scores range from 1 (worst) to 5 (best); the 2023 average score for “Timeliness” component is published per country. [10]

World Bank LPI 2023 “Tracking & tracing” is one of the components and is scored from 1 to 5 per country. [10]

World Bank LPI 2023 provides country-level scores and indicates that performance varies; the “Logistics Quality & Competence” component is one of the measured factors. [10]

UN Global Compact notes that supply chain disruptions can take weeks/months; shipping disruption effects are reflected in lead times for imported goods. [11]

IBM’s 2021 “Supply Chain Intelligence” research (cited in IBM supply chain reports) found transportation disruption impacts revenue (percentage reported in IBM summary). [12]

McKinsey notes that typical supply chain lead times for consumer goods depend on network; disruptions can increase them by 30-50% in some cases (reported as ranges in McKinsey logistics analysis). [13]

Deloitte supply chain resilience research states that disruptions can cut forecast accuracy and extend lead times by 10-30% (range). [14]

PwC global supply chain survey reports that a significant share of companies experience delays due to logistics constraints; the survey provides percentage responses (transportation delays). [15]

UNCTAD Review of Maritime Transport 2023 indicates liner shipping connectivity and network changes by region are measured and published (country/port connectivity indices). [2]

DHL Logistics Trend Radar 2023 (or 2024) reports that logistics costs remain elevated with a specific percentage of respondents expecting increases (industry survey statistic). [16]

UPS Pulse of the Parcel 2023 reports e-commerce shipping volumes and seasonal shifts (percentage growth in shipments), affecting accessory demand logistics. [17]

ShipBob State of Logistics 2023 (published statistic on fulfillment lead times/orders) reports typical order processing/fulfillment metrics (e.g., percentage of businesses faster). [18]

Retailers often target OTIF metrics; benchmark surveys show OTIF improvements correlate with logistics performance (survey percent reported). [19]

APQC or SCM World benchmarking report provides specific KPI values (inventory turns, forecast accuracy) for retail/consumer goods supply chains. [20]

Gartner/TOC: inventory carrying costs are typically 20-30% per year (widely cited), but needs exact source URL with number. [21]

Harvard Business Review article “Why Forecasts Fail” states forecast errors are often 30-50% in many industries (specific). [22]

McKinsey report: forecast accuracy can improve by X points using advanced analytics (percentage). [23]

Bain & Company inventory reduction: companies can reduce inventory by 20-50% (number range). [24]

Deloitte: inventory optimization can reduce working capital by 10-30% (range). [25]

CSCMP annual survey includes inventory days / service levels; specific KPI numbers in report. [26]

Council of Supply Chain Management Professionals: OTIF definition and typical targets (e.g., 95%+) stated in benchmark guidance. [26]

APQC “Inventory Accuracy” benchmark shows target of 95%+ (if published). [27]

Aberdeen Group (now Gartner) reports best-in-class forecast accuracy at X% (published). [28]

IBF or other: “safety stock” formula leads to reducing stockouts by 20-30% (study). [29]

Shopify/industry fulfillment metrics: order processing times median 1-2 days (stat). [30]

ShipBob data: percentage of shipments shipped from US in 2 days (median). [18]

Retail supply chain accuracy surveys: e.g., “inventory accuracy averages 63% globally” (specific). [31]

CGS/industry: “out-of-stocks cause retailers to lose ~4% of sales” (specific number). [32]

Stockouts and overstocks are a key metric; one overstocks can represent 10-20% of inventory in retail (if sourced). [33]

Retailer markdowns average 30-40% of sales (national retail data). [34]

Accenture inventory analytics can cut inventory by 10-25% (range). [35]

SAP report: service levels (OTIF) improved to 98% using S&OP planning (specific). [36]

Kinaxis (RapidResponse) study gives time-to-plan reductions like “from weeks to days” (numeric, e.g., 70% reduction). [37]

One supply chain KPI benchmark: “perfect order index” defined as 100%; companies target 90%+. Need exact number source. [38]

Reverse logistics return rates: apparel often has return rates 20-30% (specific). [39]

Reverse logistics cost: returns can cost retailers billions annually; e.g., NRF estimates $761B in returned goods in the US across retail categories (needs exact). [39]

NRF indicates that in 2022, 16% of online purchases were returned (US), per NRF survey/research compilation. [39]

Digital Commerce 360 or similar reports average return rate for e-commerce apparel at ~30% (numeric). [40]

IHL Group/Return logistics study: returns processing may take 20-30 days (numeric). [41]

Optoro report states “resale can recapture up to 30-60% of value” of returned items (percentage). [42]

Reverse logistics benchmark: 20-25% of returned items are resold; rest liquidated/destroyed (numeric). [43]

IBM or Capgemini: e-commerce returns environmental impact includes CO2 per return (numeric). [44]

European Commission reports on Waste from Electrical and Electronic Equipment (WEEE) and take-back rates (numeric %). [45]

EU Circular Economy Action Plan sets targets for reuse/recycling: e.g., packaging recycling targets 65% by 2025 (from EU Packaging directive). [46]

EU Batteries Regulation sets targets for collection rates (e.g., 45% by 2023, increasing) — relevant for accessory components like batteries. [47]

Extended Producer Responsibility (EPR) frameworks include collection targets for textiles in EU/UK policy (numeric targets published). [48]

US FTC or EPA reports on recycling rates for certain materials (plastic packaging return rates). [49]

WRAP (UK) reports clothing reuse and recycling rates (numeric). [50]

OECD report provides e-waste collection/recycling rates (numeric %) which affects accessories with electronics. [51]

UN Global Compact: take-back reduces disposal costs (numeric from case). [11]

Reverse logistics for footwear/attire in consignment: e.g., “up to 85% of returned items can be resold” (numeric). [52]

Nike/industry take-back program includes specific goal (e.g., divert 100% of materials from landfill by year X). [53]

Gartner (or similar) reports that by 2023, 75%+ of supply chain organizations are prioritizing risk management capabilities (survey). [54]

McKinsey 2020-2021 survey found 90% of executives reported supply chain disruptions caused revenue loss. [55]

World Economic Forum (WEF) Global Risks Report 2024 includes probability/impact scores and highlights supply-chain disruptions as a top global risk; it publishes a specific ranking/score. [56]

Deloitte 2022 supply chain resilience survey: a specific percentage of respondents reported supply chain risk as a major business concern (survey result). [57]

Continuity/BCP benchmarks: ISO 22301 adoption rates are published in ISO or related market reports (with a specific number). [58]

Disaster recovery insurance and operational resilience percentages are often cited; e.g., Aon reports average business interruption costs; the report provides a specific $ figure. [59]

S&P Global Market Intelligence reports that 2021-2023 supply chain disruptions increased lead times by X days in certain categories (published in article). [60]

J.P. Morgan note: supply chain disruptions associated with inflation and cost increases; includes quantitative percent changes in costs for retailers (published figure). [61]

IHS Markit (S&P) summary: 2021 semiconductor shortage reduced production by millions of units; published numeric figure. [62]

MIT CMU study: “bullwhip effect” magnitude measured; typical order variability multiple for consumer goods (specific numeric from paper). [63]

PwC 2021 “Global Crisis Management Survey”: percentage of executives expect the supply chain to remain disrupted; published percent. [15]

Gartner supply chain survey percent of supply chain leaders planning to invest in risk management; published in a Gartner article. [64]

Harvard Business Review article “The Resilient Supply Chain” includes a specific measure (e.g., 70%+). [65]

Resilinc or Everstream Analytics published benchmark: e.g., “median lead time increases by 30 days during major disruptions” (if stated in report). [66]

IBM “Cost of Supply Chain Disruption” study includes dollar cost figures for retailers (survey-based). [67]

SAP “State of the Supply Chain” report includes percent of companies measuring supplier risk; published number. [36]

Coupa supplier network risk benchmark: percent of suppliers assessed; published number. [68]

Sourcing Journal / apparel logistics reports include numeric on overtime/backlogs during peak (days). [69]

Gartner for supply chain resilience: “by 2025, X% of global organizations will use supply chain control towers” (published in Gartner press release/summary). [70]

Control tower adoption metrics from logistics surveys include percent; specific figure in report. [71]

Global supply chain disruptions are strongly related to container shortages; one Drewry/World Container Index states WCI levels; provide WCI and note disruptions cause surges. [72]

OECD reports “trade costs” increases due to border delays; provides percent increase in trade costs (quantitative). [5]

Supplier compliance: e.g., % suppliers audited for labor conditions (from Sedex/Responsible Business reports). [73]

BSR or S&P Global Sustainable1: percentage of companies with supplier code compliance (numeric). [74]

US Dodd-Frank conflict minerals: SEC reports include percentages of companies sourcing compliant minerals (numeric). [75]

Higg Index: adoption % among footwear/apparel brands (numeric). [76]

Better Cotton: number of farmers and hectares in program (numeric). [77]

Better Cotton: 2022/23 impact statistics include hectares in use and farmers reached (numeric). [77]

Textile Exchange: organic cotton production data (tons, % share) relevant for accessories made with cotton. [78]

Textile Exchange Preferred Fiber & Materials Market Report includes a specific statistic on organic/better cotton or recycled polyester market share (numeric). [78]

Textile Exchange: “recycled polyester demand” numeric in report. [78]

Fashion Transparency Index reports % of brands disclosing supplier information (numeric). [79]

Fashion Transparency Index 2023: overall average score numeric published. [79]

Amfori BSCI annual report includes number of audits and suppliers (numeric). [80]

Sedex: number of businesses on platform or number of audits (numeric) in annual report. [81]

Supplier certifications: ISO 14001 certificates count globally (numeric) from ISO survey. [82]

ISO Survey: number of ISO 9001 certificates globally (numeric). [82]

ISO Survey provides certifications counts by country and standard; use ISO 9001/14001/45001 totals. [82]

FSC: number of hectares certified (numeric) for wood pulp in accessories packaging. [83]

PEFC: number of certified forests and chain-of-custody certifications (numeric). [84]

CDP supply chain engagement: number of companies reporting Scope 3 emissions (numeric). [85]

SBTi: number of companies with approved targets (numeric). [86]

Science Based Targets: number of companies with approved targets (numeric). [86]

EU CSRD: requirement applies for certain companies; thresholds include turnover of €40m and employees 250 for large companies (numeric). [87]

EU Non-Financial Reporting? (Directive 2014/95/EU) thresholds include 500 employees (numeric). [88]

EU Regulation on deforestation-free products: thresholds define “large SMEs” by employees/turnover (numeric). [89]

California Transparency in Supply Chains Act requires disclosure by large retailers and manufacturers with $100m annual gross receipts (numeric). [90]

UK Modern Slavery Act applies to businesses with turnover over £36m (numeric). [91]

Forced labor indicator reports prevalence (numeric) from ILO estimates on forced labor (e.g., 27.6 million). [92]

ILO estimate: 27.6 million people in forced labour (2016 estimate used widely; published). [93]

ILO estimate: 160 million child labourers in 2020 (published in ILO/UNICEF report). [94]

ILO child labour: 79 million in hazardous work (2020). [94]

Global Sustainable Apparel Coalition (GSCA) membership numbers (numeric). [95]

Better Cotton impact: number of farmers trained (numeric). [77]

Apparel and footwear material composition: share of polyester in global clothing fibers (numeric) in Textile Exchange report. [78]