GLOBAL AVAILABLE TO PROMISE
SOLUTIONS DESIGNED TO SYSTEMATICALLY ESTIMATE MARKET DEMAND
Get realistic date for fulfilment of orders in full against the customers requested date in a multi plant multi line environment with ability to prioritise orders, customers for various business objectives of contribution maximisation / OTIF maximisation
Description
Order Promise provides us a realistic date on which a customer order can be serviced. This Promised Date is arrived at considering demand, capacity (production and warehouse) and material constraints. Order Promise significantly helps in ensuring that customer expectations are managed and matched right at the outset prior to taking the order. This is an invaluable sales tool for MtO Businesses.
Benefits
Features
Single Source of Order Promise
ATP ensures that there is a single system that all customer orders flow through and tries to allocate.
Optimisation Model
Uses MILP to arrive at the delivery date considering multiple plant and can optimise for different objective functions.
Optimisation Model
Offers the best Promised date and allows different prioritisation based on business objective.
Optimisation Model
At the order level, possibility to ensure MOQ constraints and wait for full container logic can be added.
Optimisation Model
Multi Time period runs to give visibility of the next 100 weeks or more.
Adaptive Control
Ability to quickly react with a fulfilment due date and continuously react to changes in the order.
Some Customer Cases
On the quantitative side, we have integrated the powerful Statistical and Graphical Modelling libraries of Python. We have also connected to ML / AI libraries of WML / Google / AWS to enables the application of a variety of statistical and ML/AI techniques for different situations
Consumer Electrical Company
Enhanced visibility and transparency via S&OP suite for a consumer electrical manufacturer
Speciality Tyre Company
Implemented Demand Forecasting and Demand Aggregation for the smooth function for the manufacturing unit
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