Reduce Risk and Take Control With AI-Driven Industrial Supply Chain Software

Today’s manufacturers face mounting challenges:

• Highly variable, long-tail demand across product portfolios
• Frequent new product introductions and custom configurations
• Price volatility and tightening margins
• Demand for lean, efficient operations
• Distributed global networks with tight delivery expectations

If you’re trying to manage large product portfolios and project-based demand with spreadsheets or rigid ERP modules, you’re operating at a disadvantage:

• Long-tail and intermittent demand make aggregated forecasts unreliable at SKU-plant level
• New product introductions (NPIs) and model changes constantly disrupt historical forecasting models
• Global supply networks and distributed customer bases increase lead time and complexity
• Static safety stocks and lead times fail to reflect real-time risks across plants, suppliers, and distribution centers
• Disconnected planning and execution slow responses to disruptions and drive-up costs
• Manual pricing decisions leave margins exposed and inventory aging in warehouses

Your company’s legacy systems are increasing risk and slowing decision-making:

• Siloed planning functions hinder agility and visibility
• Manual spreadsheets can’t scale across SKU-locations or regions
• Poor demand intelligence leads to overstock of slow movers and stockouts of critical items
• Planners get stuck in emergency mode, always problem-solving and never innovating

Failing to modernize planning processes puts manufacturers at risk, leading to:

• Lost sales and market share from missed orders and poor availability
• Escalating logistics and production costs due to last-minute allocation decisions
• Excess stock locking up working capital
• Margin erosion from reactive pricing and over-discounting
• Missed opportunities to streamline operations and grow