Welcome To Procurement & Supply Chain Webinar
Containerisation has led to globalization which in turn has created a complex web of value chains supported by the sophisticated logistics and supply chain management strategy. The recent disruptions and the global shortages of space, ocean container and surging freight demands a better control of the various elements that go into managing the complex structure to ensure that your Supply lines and Logistics are well understood and managed.

Optimisation and Data Science are the best tools that can be employed to Identify, Understand and Suggest Solutions to the enterprise. Every organization management needs to be aware and understand the challenges and apply the means to resolve them.

The supply chain is one of the trickiest parts of a business and as the chances of error are quite high, the need for proper synchronization and analytics is very important. With the right data-driven approach, data science can make supply chains more efficient, agile and predictable and cost-effective, leading to overall higher profitability and competitiveness.

This Webinar will focus on the ways and means through which solutions can be found to understand and conquer unforeseen challenges.

Key Highlights:

  • How enterprises can transform into data-driven organizations
  • Significance of Data Science in SCM
  • Application of Data Science in supply chain management
  • Benefits of Analytics and Data science in Logistics and SCM
  • Increasing visibility in your supply chain and logistics management
  • Forum :SCM Forum
  • Seminar :Supply Chain Webinar
  • Topic :Role of Optimisation & Data Science in Supply Chain & Logistics Management
  • Date :04th March 2022
  • Time :7.00 – 9.00pm (Dubai, UAE Time)
  • Phone :+971 5887 400 50

Your Name
Fill the name as desired in the certificate. Certificate once issued, will not be reissued/reprinted
Mobile No.
Format : 971   504741929
Email Address
Please Cross-check your E-mail id as the E-certificate will be mailed to this ID
Company Name
Designation
Location
Please Specify
Existing student
Ex-Student
Non-student