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The Benefits of Using Artificial Intelligence to Manage Quality and Compliance

January 23, 2021

Prepare to manage quality and compliance remotely

COVID-19 accelerated the adoption of cloud technologies in the supply chain. This was due to the urgent need to connect with suppliers and manage the supply of goods at a distance.

To make decisions remotely, managers at all levels needed to have accurate, complete, and real-time data on the performance of suppliers and the status of purchase orders.

Getting data on a global scale and analyzing data manually is not scalable. Dark holes in quality and compliance operations can leave companies vulnerable to the risk of disruptions and non-compliance.

Key benefits of A.I. for quality and compliance management

1. Objectively evaluate risk at the facility and product level

    • The cost of scaling analog quality and compliance programs is prohibitive. People need to create models and identify trends, which is costly and ineffective, instead of helping your business in other ways.
    • Machines can help you build dynamic risk models and give you critical event data in real-time to successfully manage quality and compliance risk.
    • People and technology go hand in hand. With the help of A.I. and machine learning, humans can more efficiently identify and prevent risk.

2. Implement a risk-based program that is managed by exceptions

    • Dynamic risk models, powered by A.I. can pinpoint high and low risk areas in your supply chain, helping you invest your resources where they will bring a higher ROI.
      Example: Set up a risk threshold to alert you when a facility or product are at risk. If a facility or product becomes high risk, you can tighten oversight. When they are low risk, you can decrease oversight.

3. Automate manual tasks for agile supplier management

    • Digital tools give you the option to configure your standards and risk scores. With A.l., you can automate activities when a supplier or product is at high risk.
      Example: If a supplier is at high risk of non-compliance, you can automatically trigger a verification inspection. You can also automate what entity will be in charge of doing the inspection, and the workflow to follow.

4. Obtain actionable data on the performance of suppliers

    • By standardizing quality and compliance across different factories, product lines, and countries, you can objectively compare data and performance.
    • Technology helps you gather, organize, and visualize critical event data you can act on.

5. Create a culture of continuous improvement

    • When you use A.I. in your quality and compliance programs, you can incorporate the learnings from each round of production onto the next one.
    • Empower your teams with insights on the defects and areas of non-compliance to build a culture where continuous improvement is the norm.

6. Establish strategic relationships with your suppliers

    • It’s not only about collecting data and automating processes, it’s about openly sharing information with suppliers to create accountability.
    • In times of uncertainty and volatility, the way in which you communicate critical event data with your suppliers will define success.

How Inspectorio can help you

Make better decisions, gain visibility over your supply chain, and automate manual tasks.

Inspectorio leverages A.I. and machine learning to help global brands, retailers, vendors, and manufacturers drive real results with their quality and compliance programs.

Inspectorio gives you the tools to predict areas of high risk and automate risk-based interventions across the supply chain.

Today, Inspectorio is used by over 12,000 customers across the globe, including some of the largest brands and retailers in the world.

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