Optimize product flows and improve logistics decisions with demand planning software

Distribution Planning optimizes inventory placement and logistics across your network. This ensures timely product availability, minimizes transportation costs, and enhances customer satisfaction, supporting a holistic plan.

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Explore how QAD DSCP leverages advanced technology to ensure better supply chain performance and resilience.

Key Benefits of Distribution Planning

Cut Costs

Optimize inventory, transportation and warehousing to significantly lower your overall expenses.

Boost Customer Satisfaction

Deliver on time and in the right quantities to keep your customers happy.

Enhance Efficiency

Streamline your distribution process for faster order fulfillment and shorter lead times.

Key Capabilities to Balance Service with Distribution Costs

Capacity constraints

Generate the ideal finite capacity plan considering the various costs and capacities of distribution centers and carriers.

Warehouse rebalancing

Your enterprise can evaluate balancing opportunities and review suggested inter-warehouse transfers where excess stock positions are able to alleviate shortage positions.

Replenishment methodology

Utilize various replenishment models to determine distribution requirements, including reorder-point quantity, days of supply, forecast driven and others.

Prescriptive logic

Take advantage of logic to partially expedite future requirements to maximize the utilization of a truck, shipping container or other transport option.

S&OP support

Automatically makes supply plans and simulated scenarios available to S&OP/IBP processes for tactical planning.

CASE STUDY

ADM (Neovia) is a global animal nutrition company serving livestock and domestic pet markets. With QAD, it improved forecasting accuracy, customer service and inventory management while building a more agile global supply chain.

ALL customer stories

Featured Resources

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Mitigate Supply Chain Disruption with AI

AI helps manufacturers cut waste, boost agility, and adapt fast to demand shifts—driving efficiency and operational excellence.

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What Does AI Forecasting Look Like within Digital Supply Chain Planning?

BlogSee how AI transforms planning and unlocks supply chain efficiency.

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Unleashing the Benefits of Digital Supply Chain Planning

Better understand how DSCP can help you make better decisions and happier customers.

NEXT STEPS

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Questions? Connect with QAD to discuss your supplier management needs and goals.

Frequently Asked Questions

What exactly is agentic AI?

Agentic AI is artificial intelligence designed to act autonomously toward a goal. Instead of just responding to prompts or offering recommendations, it can plan, make decisions, and take actions across systems to complete tasks and drive real business outcomes with minimal human input. In manufacturing, this means AI that can proactively balance supply and demand, adjust production schedules, resolve exceptions, automate routine ERP processes, and respond to disruptions in real time, helping manufacturers operate more efficiently, resiliently, and at scale.

What is the difference between generative AI and agentic AI?

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