IBM Supply Chain Analytics in Saudi Arabia represents the ability to make data-driven decisions, based on a summary of relevant, trusted data, often using visualization in the form of graphs, charts, and other means. Supply chains generate massive amounts of data. Supply chain analytics support to make sense of all this information uncovering patterns and generating insights.
IBM Supply Chain Analytics in Saudi Arabia features
The supplychain is the most obvious face of the business for customers and consumers. The better a company can perform supply chain analytics, the better it protects its business reputation and long-term sustainability.
Being able to access unstructured data from social media, structured data from the Internet of Things (IoT) and more traditional data sets available through traditional ERP and B2B integration tools.
Improving collaboration with suppliers increasingly means the use of cloud-based commerce networks to enable multi-enterprise collaboration and engagement.
- Cognitively enabled
The AI platform becomes the modern supplychain’s control tower by collating, coordinating and conducting decisions and actions across the chain. Most of supply chain is automated and self-learning.
Analytics capabilities are scaled with data in real-time. Insights will be comprehensive and fast. Latency is unacceptable in the supply chain of the future.
With supply chain analytics becoming so complicated, many types of software have been developed to optimize supply chain performance. Software products cover the gamut — from supplying timely and accurate supplychain information to monitoring sales.
Why is IBM Supply Chain Analytics in Saudi Arabia Important?
Supply chain analytics can support the organization makes smarter, quicker and more efficient decisions. Benefits include the ability to:
- Gain a significant return on investment
A recent Gartner survey revealed that few of surveyed organizations said they have achieved high levels of ROI by using analytics, compared with only four percent that achieved no ROI.⁴
- Better understand risks
Supply chain analytics can identify known risks and help to predict future risks by spotting patterns and trends throughout the supply chain.
- Increase accuracy in planning
By analyzing customer data, supply chain analytics can help a business better predict future demand. It supports the organization decides what products can be minimized when they become less profitable or understand what customer needs will be after the initial order.
- Achieve the lean supply chain
Companies can use supply chain analytics to monitor warehouse, partner responses and customer needs for better-informed decisions.
- Prepare for the future
Companies are now offering advanced analytics for the supply chain management. Advanced analytics can process both structured and unstructured data to give organizations an edge to get alerts on time to make the optimal decisions. It can build correlation and patterns among different sources to provide alerts that minimize risks at little cost and less sustainability impact.