Artificial Intelligence

Artificial Intelligence ERP + Machine Learning ERP = Actionable Insights

With the explosion of digital data, a new approach to making sense of it all is needed. Enter artificial intelligence and machine learning (a subset of AI). They give computers the ability to make sense of, and learn from, data.  Computers can perform specific tasks without human interference. AI and ML provide analysis and insights to users, as well as address the large amounts of structured and unstructured business and industry data that companies increasingly need to consider as part of their decision-making.

Using AI, SYSPRO ERP unites social media capabilities, internal and external collaboration, and machine learning into a single offering. Easily manage repetitive and complex tasks. Provide your users with real-time analysis and insights, so your business can act quickly and efficiently.

The July 2018 release of SYSPRO 8 gives the ERP industry its most approachable implementations of the newest innovations: machine learning (ML) and artificial intelligence (AI). SYSPRO 8’s “AI to UI” engine includes an ML designer for non-technical users to design their own AI models, to give users the very specific insights, predictions, and anomaly detection they need – and weeds out what they don’t need. So users can build views that “learn” from repeated user actions around suppliers (likelihood of on-schedule delivery); production (predicting final job costs); cash flow (predictions in working capital management); and sales orders (contextual recommendation engine), and provide views, alerts, and remediation paths based on the combined experience of users.

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– Robert Mahowald, 451 Research Group

The Benefits of AI in Manufacturing and Distribution

AI finds structure and regularities in data so that over time the algorithm becomes a classifier or a predicator. The algorithm is able to teach itself what relevant information or insights to surface that will enable quicker decision making across the supply chain.

AI adds intelligence to your existing ERP solution

AI finds structure and regularities in data so that over time the algorithm becomes a classifier or a predicator. The algorithm is able to teach itself what relevant information or insights to surface that will enable quicker decision making across the supply chain.

With algorithms that are self-learning, over time, your data forms part of your industry intellectual property, providing you with insights that will give you a competitive advantage.

Artificial Intelligence and Machine Learning ERP System Use Cases

In a business context, when coupled with the power of ERP, AI can answer questions about your business you have yet to ask.
Here a few examples of the many ways this plays out in practice:

Fraud detection

With AI sitting on top of your ERP database, fraud detection becomes easy. AI trawls through your database detecting the norm for particular users, and compares this to all transactions. For example, the posting of sales orders, requisitions and purchase orders. If anomalies are found, the relevant people are immediately alerted.

Collaborative filtering

Online retailers like EBay and Amazon have been using this for years: ‘people who buy X also buy Z’. This same technology allows your sales team to cross-sell and up-sell by examining past similar transactions, and pushing this information to them instantly.

Trend detection

Social media platforms like Twitter give you quick access to what’s trending around the globe. Similarly, AI gives you the same information within your business. What would have historically required the pulling and collation of several reports is now achieved automatically by AI pushing the relevant information to you. This takes your ERP from a system of record to a system of engagement.

Computer vision

AI has the ability to analyze stills and video images in real time. A good example is OCR, or optical character recognition, where a picture of an invoice or a stock code and quantity can be posted to your ERP and captured automatically. Or, a receipt from a business lunch photographed and posted as an expense for reimbursement. Another example would be facial recognition in a warehouse through an existing camera system that detects unauthorized use of machinery, or unauthorized access to restricted areas.

SYSPRO is a world leader in ERP

Enabling real-world innovation that adds value to our customers’ businesses