Apple named China's greenest supply chain
The ranking comes from en...
Apple has been named as China’s greenest supply chain, followed by fellow tech giant Dell, and apparel specialist Levi’s.
The ranking comes from environmentally-focused Chinese NGO the Institute of Public and Environmental Affairs (IPE), which reports on efforts in reducing the environmental impact of our supply chain in China.
It has released findings from its index rating the performance of around 250 brands across 14 industries in terms of how they manage environmental performance in their supply chain in China.
The index takes into account a number of factors, including ‘Responsiveness and Transparency’, ‘Compliance and Corrective Actions’, and ‘Energy Conservation and Emissions Reduction’.
In its score out of 100, Apple received a leading result of 82.5, with Dell receiving a score of 81.
Levi’s was the highest rated company from the textiles industry, receiving a score of 76.5.
In a statement, Levi’s said it was: “Laser-focused on increasing transparency and environmental management performance throughout our entire supply chain.
“That approach has paid off – we’re proud to share that we achieved the top ranking in the textile industry from the Institute of Public and Environmental Affairs (IPE) for our efforts in reducing the environmental impact of our supply chain in China.”
Its Managing Director of Greater China, Nic Versloot, commented: “It is a great honour to receive the top ranking in the textile industry from IPE this year. The consistent progress the company has made over these past three years is a testament to the great work of our sustainability team.
“We remain committed to the goal of becoming the most sustainable apparel company in China.”
The top 10 green supply chains in China in full were:
- Esquel Group
5 Minutes With: Jim Bureau, CEO Jaggaer
What is data analytics, and why is it important for organisations to utilise?
Data analytics is the process of collecting, cleansing, transforming and analysing an organisation’s information to identify trends and extract meaningful insights to solve problems.
The main benefit for procurement teams that adopt analytics is that they’re equipped to make faster, more proactive and effective decisions. Spend analysis and other advanced statistical analyses eliminate the guesswork and reactivity common with spreadsheets and other manual approaches and drive greater efficiency and value.
As procurement continues to play a central role in organisational success, adopting analytics is critical for improving operations, meeting and achieving key performance indicators, reducing staff burnout, gaining valuable market intelligence and protecting the bottom line.
How can organisations use procurement analytics to benefit their operations?
Teams can leverage data analytics to tangibly improve performance across all procurement activities - identifying new savings opportunities, getting a consolidated view of spend, understanding the right time for contract re-negotiations, and which suppliers to tap when prioritising and segmenting suppliers, assessing and addressing supply chain risk and more.
Procurement can ultimately create a more comprehensive sourcing process that invites more suppliers to the table and gets even more granular about cost drivers and other criteria.
"The main benefit for procurement teams that adopt analytics is that they’re equipped to make faster, more proactive and effective decisions"
Procurement analytics can provide critical insight for spend management, category management, supplier contracts and negotiations, strategic sourcing, spend forecasting and more. Unilever, for example, used actionable insight from spend analysis to optimise spending, sourcing, and contract negotiations for an especially unpredictable industry such as transport and logistics.
Whether a team needs to figure out ways to retain cash, further diversify its supply base, or deliver value on sustainability, innovation or diversity initiatives, analytics can help procurement deliver on organisational needs.
How is data analytics used in supply chain and procurement?
Data analytics encompasses descriptive, diagnostic, predictive and prescriptive data.
Descriptive shows what’s happened in the past, while diagnostic analytics surface answers to ‘why’ those previous events happened.
This clear view into procurement operations and trends lays the groundwork for predictive analytics, which forecasts future events, and prescriptive analytics, which recommends the best actions for teams to take based on those predictions.
Teams can leverage all four types of analytics to gain visibility across the supply chain and identify optimisation and value generating opportunities.
Take on-time delivery (OTD) as an example. Predictive analytics are identifying the probability of whether an order will be delivered on time even before its placed, based on previous events. Combined with recommendation engines that suggest improvement actions, the analytics enable teams to proactively mitigate risk of late deliveries, such as through spreading an order over a second or third source of supply.
Advanced analytics is a research and development focus for JAGGAER, and we expect procurement’s ability to leverage AI to become even stronger and more impactful.