WHY DIGITAL ANALYTICS IN SUPPLY CHAIN?
In the world of global complex operations running in sync with digital technologies serve as a big cause for the rise in the sea of data, and the evolution of a smarter, more efficient network supply model. Today’s modern digital supply chain model will be powered by digital analytics which will be embedded throughout the organization entire operation.
The computerized investigation includes the assortment, estimation, examination, representation and understanding of advanced information outlining client conduct on sites, versatile locales and portable applications.
Supply chains can bounce the advanced development bend by embracing an organized stock model of activity empowered with cutting edge advanced analytics as opposed to following a more legacy enterprise resource planning and supply chain management systems.
This Aids in The Completion of The Following Tasks:
- Better Lead Insights will help us streamline our sales operations.
- Analyze the current state of a product or service.
- Making our brand more open to the needs of our customers.
- By listening to customers efficiently and proactively, you will beat the market.
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KEY TRANSFORMATION IMPACTS ON SUPPLY CHAIN:
- Data:- Technologies now exist to very effectively capture, integrate, store and leverage supply chain data to gain relevant insights for competitive advantage.
- Insights:- Analytics now is very deeply embedded into supply chain DNA to take key critical decisions easily. Thus, producing strategic insights for driving talent, organization and cultural transformation.
- Visualization:- Real-time visualization provides a more immersive interactive user experience for insight consumption, identification of bottlenecks, risks to the supply chain and a very robust root cause analysis.
- Machines:- Advancements in AI, ML, IoT and robotics are impacting all supply chain functions. These help in generating automated decisions and operational improvements in asset management, customer intimacy and service/enterprise agility.
- Security:- Analytics is playing a key part in the whole supply chain network security as a more open and associated system of players in rapidly changing environments with new dangers to oversee.
Supply Chain Digital Analytics in Action
DIFFERENT MODULES IN
SUPPLY CHAIN DIGITAL ANALYTICS?
Planning Module
To customize the supply chain as per customer needs and preferences
- Analysis of Consumer Intent
- Analyze the current state of the supply chain
- Scenario analysis using artificial intelligence.
Customer Experience Module
To boost the customer experience around the product
- Analyzing Customer Behavior
- Analysis and Optimization of Web Assets
- Optimisation of the Customer Experience
Optimisation Module
Existing Supply Chain Process should be Analysed to enhance supply chain optimisation.
- Sniper Analysis of Engaged Customers
- Development of Engagement Opportunities
- Optimisation of the Customer Experience
Feedback Management Module
Leverage customer feedback to study Supply Chain Performance
- Mentions of a brand or a product are being recorded.
- Analyzing if the mention has a bearing on Supply Chain
Predictive Analysis Module
To gain an advantage over the competition by being proactive.
- Customer Behaviour Modeling
- Leads must be qualified.
- Planning for products and services.
- Right Customer – Right Product – Right Time (RC-RT-RC).
- Predictive Analysis Supply Chain Strategies
- Effective Trade Promotion
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HOW WE CAN DIGITALLY TRANSFORM YOUR COMPANY
Step 1:
Set clear expectations and priorities for each module from the top down.
Step 2:
Gather information and provide monitoring for the various modules.
Step 3:
Analyze the data and make a decision.
Step 4:
Assist the Team in carrying out and implementing guidelines.
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