Collaborative Demand Planning is a combination of rigorous forecasting algorithms to predict future demand as well as collaboration amongst the internal and external stakeholders. In the absence of the right environment and accurate forecasts, the likelihood of lost sales, because of too little inventory or excess inventory, increases drastically.
Adexa IBP offers network optimization as an integral part of its solutions to aggregate, synchronizes and optimize multi-site, multi enterprise procurement, production and distribution plans. It ensures financial targets are met on a local and enterprise scale. It dynamically identifies and corrects the inefficiencies in the operations plan to eliminate the symptoms of poor planning. It delivers a critical, intelligent link between financially driven Operations planning and Demand planning within the SAME system.
Adexa Supply Chain Planning solutions, an integral part of Adexa IBP solution, supports constraint-based planning with a comprehensive, inter and intra-enterprise-wide model to synchronize supply with demand across the entire resources of your multi-site, multi-tier supply chain.
When orders come in, you should be able to reliably promise availability and meet aggressive commitments all in real-time. In conjunction with your Order Entry system, Adexa's IBP, Precision ATP solution, provides real-time Capable to Promise (CTP) and Available to Promise (ATP) information while you place the order; even if only part of the order will be ready using current materials and capacity information.
Adexa S&OP solution offers a comprehensive environment for end to end visibility, predictability and responsiveness while lowering the cost of operations. It enables you to predict and optimize inventory buffers across the multiple levels of your supply chain, resulting in reduced delivery lead times, increased order fill rates, and avoiding capacity and materials shortages. The system automatically sets inventory levels based on your service-level commitments by customer (family), SKU or product groups. Furthermore, the solution identifies and predicts imbalance and capacity bottlenecks using time-varying business rules such as sourcing across multiple plants and multiple suppliers with qualifications and postponement strategies. Multiple scenarios can be compared and financial consequences of each strategy can be seen. This process allows you to have the right product mix, right level of inventory from raw materials to finished goods and in between, as well as ensuring the desired service level at lowest cost of operation.What makes Adexa’s Sales and Operations Planning (S&OP) solution exceptional and unique is due to the use of intelligent algorithms produce plans that are so accurate that they can be executed without having to be revised and manipulated by the planners. Every plan is a perfect plan for execution And, if anything goes wrong, no worries, it already has a backup based on risk recognition strategies built into the application. Lastly, but not least, Adexa’s Sales and Operations Planning (S&OP) solution performs self-evaluation and learns from its environment and therefore constantly improves itself through machine learning algorithms.
S&OE is a suite of integrated solutions designed to create a true digital twin and perform order level planning at various levels of detail so that an accurate and executable plan is generated both horizontally and vertically from network level, all the way to factory level and equipment sequencing.In all cases the data model remains the same although the detail of data may not be. This is a unique feature of Adexa’s Unified Data Model. Adexa’s S&OE and S&OP solutions form a continuum not separated and disjointed systems. Depending on your needs, Our solution is designed to provide a solution that can grow with your organization and maturity of data availability, i.e. granularity and frequency. One important feature of Adexa’s S&OE is the fact that every component of execution suite is tied to the finances. Thus, any execution decision made, by the system or the users, can immediately reflect the financial consequences of those decisions.