Apparel supply chains struggle with responsible sourcing

Apparel supply chains struggle with responsible sourcing

AI, Asian Inspection third quarter barometre reveals Asia Pacific unfazed by global trade uncertainty, and that apparel supply chains struggle with Responsible Sourcing

What AI does

Asia Pacific looks strong against conservative Global Trade Forecasts

AI Barometres

The end of Q2 was marked by the World Bank’s recent revision of its global growth forecast at 2.4%, as the 2016 global trade outlook remains conservative, with extra uncertainty added by the UK’s intention to leave the EU.iAgainst this background, growth in Asia Pacific promises to remain strong at 6 %, economists say, with China predicted to retain its steady pace of 6.7 %. Indeed, AI saw +7 % growth in China for Inspection and Audit volumes year-to-date.

Local consumption is expected to drive China’s growth as the government plans on making available more varieties of higher-end consumer goods, enhancing product designs, and encouraging major domestic producers to meet international quality standards.iii AI data shows that local production quality remains a struggle: inspections performed in China for local brands and buyers saw failure rates increase by +28 % YTD 2016 vs. 2015.

AI China

Elsewhere in Asia, trade activity also strengthened in India and Pakistan where AI data shows a two-fold increase in product inspection volumes over the last 12 months. As local apparel manufacturing powerhouses, both countries experienced double-digit YOY growth in export value for clothing and textile to the EU, according to recently published 2015 year-end figures.iv Quality trends remain a worry though, as failed inspections rate rose +26 % in India and +42 % in Pakistan year-to-date.

AI Pakistan

Apparel sector struggles with Responsible Sourcing – It’s not alone

AI Inspection in Q 2nd couontrywise

Responsible practices and sustainable sourcing remain a challenge for apparel brands. Cotton sourcing practices in particular were in the spotlight in a recent report which slammed many major brands for doing “virtually nothing” to ensure their cotton is sustainable.v Forced and child labor are a particular risk to apparel supply chains, and top cotton exporters including Uzbekistan and Turkmenistan are highlighted for doing little to enforce the conventions they The same research demonstrates the correlation between child labor risk and sufficient adult wages.

AI brands

“Child labour can trap multiple generations in poverty,” said Sebastien Breteau, AsiaInspection CEO. “At AI, during our Audits, we witness this vicious cycle on the ground, further perpetuated by the lack of access to quality and free education. That is why we are keen to align our efforts with initiatives such as the Global Business Council for Education, and hope to go one step beyond in helping eradicate child labour.”

AI Unethical labour practice

Meanwhile, progress in structural safety of apparel supply chains also remains slow. Despite the recent strides made by the Bangladeshi RMG sector, according to a report by the ILO and IFC, one in four factories requires extensive retro-fitting remedial work.

AI’s data on structural audits for Q2 2016 concurs and indicates a worrying trend: 53.3 % of all factories audited were ranked as “Immediate Action Required” or “Need Improvement”.

AI Sourcing and Safety

While sourcing challenges remain, recent research shows the global apparel and footwear sector continues growing, and the most dynamic regions are the Middle East and Africa, where sales of apparel and footwear are poised to hit USD 134 billion. by 2020  Africa in particular deserves attention, as apparel and footwear manufacturers have already realized its potential for sourcing, and now its consumer base, largely a younger and tech-savvy demographic, is also showing great promise.

AI Apparel and Footwear

AI data indicates that while the manufacturing base in Africa is growing, it is still immature: inspection demand saw +61 % growth year-on-year, but at the same time failed inspections rate surged by +15 % in 2016 YTD versus last year.

AI Sourcing

Other industries are not exempt from responsible sourcing issues. The jewelry industry, for instance, sees sustainability efforts gaining momentum with the audit program for jewelers launched by the Responsible Jewelry Council.x As the EU recently adopted the framework to curb trade in conflict minerals,xi this program’s membership is poised to increase further.

Across industries, AI data shows that unethical labor practices remain among the most pressing issues discovered during ethical audits: in Q2 2016, 5.9 % of audits failed in the “Child Labour” section, an uptick from the Q1 figure of 4.6 %.

Consumer Safety: Product recalls, while still rampant, branded as ineffective

AI Product recalls

Recent research by a New Zealand consumer association shows that less than 50% of product recalls achieve the desired effect. The reasons behind this range from lack of consumer awareness to lengthy and inconvenient recall procedures. A clear example of this is the ongoing massive recall of 4.3 million tumble driers in the UK due to fire hazard. While the recall was announced in October 2015, the problem persists today, as consumers seem reluctant to overcome the hassle of returning the product. IKEA, in its recent furniture recall triggered by a design failure that proved lethal, attempted to be more consumer-friendly and offered to pick up the furniture from the consumers’ homes. However, considering the scale of recall – some 29 million chests and dressers – IKEA’s recall phone lines were simply unable to handle the traffic.

AI Rampant but ineffective

Meanwhile, AI Lab Testing results evidence that in Q2 14 % of all tested products failed to comply with safety standards when tested at the source, when brands and buyers can still address and correct issues before products get shipped. Given this scale of quality failures and the obvious ineffectiveness of recalls, the cost-saving and reputational value of preventive quality control is more apparent than ever.

AI Asia Inspection 

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