Demand and supply volatility now changes faster than traditional top-down hierarchical planning cycles can respond. As conditions shift between planning runs, assumptions become outdated, leaving plans misaligned and decisions reactive rather than proactive.

Supply networks span multiple tiers of suppliers, contract manufacturers, and components, making end-to-end visibility difficult. Limited insight beyond immediate suppliers increases the risk of shortages, excess inventory, and slow reactions when disruptions ripple through the network.

Top-down hierarchical forecasting relies on stable historical mix assumptions, which often break down when product variants, customer preferences, or configurations change. As a result, the disaggregated SKU- or variant-level forecasts can be systematically biased, even if the aggregate family-level forecast is accurate.

Disconnected planning systems force teams to rely on manual handoffs, spreadsheets, and reconciliations across functions. This fragmentation slows decision making, delays responses to demand or supply changes, and increases the risk of misaligned plans across the organization.

Mixed-mode manufacturing can be challenging as each production mode behaves differently, with distinct demand patterns, lead times, and constraints that quickly overwhelm manual rules and static planning logic. Without software that can continuously learn from data and rebalance trade-offs in real time, planners are forced to rely on assumptions and averages, leading to slower decisions, higher inventory, and missed service targets as complexity and volatility increase.

Industrial manufacturers may struggle to confidently confirm customer orders because visibility into component availability, supplier commitments, and capacity constraints is fragmented or delayed. Without reliable, real-time insight into available-to-promise and capable-to-promise, organizations are forced to rely on assumptions, increasing the risk of overpromising, costly expediting, production disruptions, and erosion of customer trust.

RELEX synchronizes materials and capacity in a unified planning environment. See the ripple effects of decisions across the value chain before making commitments to materials to ensure supplier orders and production schedules work together

Identify potential issues such as material shortages and capacity bottlenecks before they become crises. Planners can test scenarios to see the impact of changes before they are implemented to become strategic decision-makers.

ERP systems are great at managing transactions and executing plans, but with fixed parameters and simplified logic, they are not designed to optimize them. RELEX fills the gap with intelligent, adaptive planning that reflects how manufacturers operate.

RELEX enables continuous, data-driven planning that adapts dynamically to changing conditions in real time. Our AI-native platform integrates demand forecasting, supply planning, and execution, ensuring that plans are always aligned with the latest data and market realities, so manufacturers respond quickly and effectively to volatility.

RELEX provides end-to-end visibility into component availability, supplier commitments, and capacity constraints with our integrated supply chain planning platform which supports accurate Available-to-Promise (ATP) and Capable-to-Promise (CTP) calculations. Integrate demand forecasts, inventory, production schedules, and supplier data so manufacturers can confidently commit to orders while reducing overpromising and delivery disruptions.

RELEX aligns labor capacity with production requirements in real time, helping manufacturers determine optimal shift levels based on demand forecasts, order priorities, and equipment capacity to avoid costly overstaffing and missed deadlines due to insufficient capacity.