QAD Digital Supply Chain Planning (DSCP)

Since 1985, QAD Digital Supply Chain Planning (DSCP) helps businesses optimize their supply chains providing an integrated and collaborative planning solution that includes Sales & Operations Planning (S&OP), Demand Planning, Supply Planning, Manufacturing Planning, Inventory Optimization, Financial Planning, and Integrated Business Planning (IBP) - powered by Advanced Analytics and AI Machine Learning.

QAD DSCP enables organizations - in industries such as consumer products, food and beverage, life sciences, industrial, distribution and wholesale, and automotive - to improve value outcomes by building Adaptive Supply Chains.

Demand Planning
Forecast from a single version of the truth available in any dimension, for making more timely and effective supply chain and market decisions. Helps users capitalize on real-time scenario analysis, driven by an in-memory data engine, to up sales revenue, minimize expedite and inventory costs, and improve customer service. Includes data visualization, machine learning, and a Single Click Collaborative® platform for a consensus demand plan combining statistical forecasts with functional perspectives and events from Sales, Marketing and Finance.

Inventory Optimization
Helps maintain the right inventory in the right places at the right time, and be able to focus on most critical projects, with integrated inventory and network optimization solution. Provides real time visibility into global inventory flows, and optimizes these through dynamic simulations. Its optimization algorithms calculate real-time forecast service levels, inventory levels, resource use rate, distribution flows, and optimal sourcing allocation, while collaboration and real-time synchronization between all players in the extended supply chain enable a truly comprehensive overview.

Supply Planning
Take advantage of best-in-class supply plans & processes across the supply chain by calculating optimal order and delivery schedules based on forecast and evolving requirements, inventory policies, logistics & supplier constraints. Relevant replenishment models - reorder-point quantity, days of supply, and forecast driven - deploy to determine needs, while look-ahead logic maximizes active & future transportation resources. Costs & orders can be pegged at all levels of demand & supply throughout the planning model, and simulated scenarios can drive both tactical planning and Sales & Operations Planning / Integrated Business Planning (IBP).

Production Planning
Minimizes unforeseen downtime and delayed deliveries and manage urgent demand signals through end-to-end supply chain visibility and collaboration with all stakeholders. Its planning workbenches provide material flow visibility and synchronize materials flow and resources utilization across multistage, multi-site production environments respecting all required constraints. Calculate available to promise, capable to promise, and order to promise in real-time, while supporting shelf-life constraints & the flow of materials by lot, as well as nearly all supply chain segmentation strategies.

Sales & Operations Planning
S&OP reconciles cross-functional plans, problems, risks, & objectives to provide visibility, stability & alignment with corporate goals, and alignment with c-suite strategic plans. Scorecards & dashboards give finance & other stakeholders a quick look at business performance across the enterprise. Task management functionality generates a set of repeatable & auditable tasks for each S&OP planning cycle. Scenario planning lets management assess risk, expense, & cash flow ramifications of all realistic decisions. Stakeholder collaboration & a single data model are also differentiators.