Date post: | 19-Mar-2017 |
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Build a Smarter Predictive Order Management System with Big Data and Analytics
Consulting and Enterprise Solutions
The Need for Demand Forecasting in Manufacturing
Manufacturers operate across different locations and
use multiple vendors.
The lack of data integration and insights can be a major
operational hurdle.
Accurate demand forecasts can help manufacturers
reduce lead times, save on transportation costs, and operate more efficiently.
Modernize the Supply Chain by Using ERP Data
Generate statutory reports, and manage
costs and pricing across geographies by harmonizing geo-
specific tax IDs
Determine if orders can be fulfilled on
time with an ‘Available to
Promise’ process
Eliminate unnecessary costs and strengthen customer relationships by predicting future
requirements using historical data
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Embrace Disruption with Predictive Analytics
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Avoid losing customers to
competitors by identifying the likely
causes of dissatisfaction
Reduce forecasting
errors
Save big on transportation
costs by predicting sources
of demand
Build a Predictive Order Management Chain
Categorize different
segments to pull data from
Identify the products in
demand
Determine how long each product will
take to be built and shipped
Identify the inventory needed to meet the
demand for the finished product
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Three Components of the Predictive OMC
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The supply chain platform integrates all inbound and outbound
procurement and logistical components
The order management platform is the front-end for the B2B customer, the B2C
customer, sales, and customer service
The customer interaction platform is continuously
updated with market analysis data and sales data from
campaigns and promotions
Deliver a Better Customer 360 Experience
With all the data that is gathered and analyzed, the right infrastructure, and the predictive order management model, you can:
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Increase order promise dates
Generate real-time performance reports
Support mobile capabilities
Improve decision-making01
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Build a Smarter Predictive Order Management System with Big Data and Analytics
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