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AI driven inventory optimization

Combines all data sources from the sales funnel, apply latest #AI advancement to predict demand, optimize inventory and automate the process.
We maximize sales, prevent stockouts, reduce inventory, waste and control costs


Data Sources



How does Catwing help you grow?

We combine all important data sources from the sales funnel and apply latest #AI advancement to predict demand, optimize inventory and automate the process. 

We maximize sales, prevent stockouts, reduce inventory, waste and control costs by:

  • Accessing reacher (internal & external) data
  • Focusing on product performance and metrics
  • Applying cutting edge AI forecasting models
  • Tailoring data driven inventory optimization strategy
  • Tracking teams contribution to the inventory process



Better inventory management

Maintain optimal level of inventory considering  products performance and metrics

Increase revenue

Maintain needed level of A products and reduce out-of-stock situations

Better demand forecasting

It improves the planning process 

Harmonized orders

It maintain good relationships with your suppliers considering their specifics

Increase Revenue

1. Minimize Stockouts:

  • Accurate Demand Forecasting: AI algorithms predict future demand with high accuracy, ensuring that popular products are always in stock. This reduces the chances of missed sales opportunities due to stockouts.
  • Real-time Inventory Tracking: Continuous monitoring and updating of inventory levels help prevent situations where products are unavailable when customers want to buy them.

2. Optimize Product Availability:

  • Dynamic Replenishment: Automatic replenishment processes ensure that inventory is restocked just in time, maintaining optimal stock levels and ensuring high-demand items are available.
  • Sales Trend Analysis: By understanding and anticipating sales trends, the platform ensures that the right products are available at the right time, driving higher sales.

3. Enhance Customer Experience:

  • Consistent Stock Levels: Maintaining consistent availability of products improves customer satisfaction and loyalty, leading to repeat purchases and increased revenue.
  • Improved Service Levels: Faster and more reliable fulfillment of orders enhances the overall shopping experience, encouraging customers to return and make more purchases.

Reduce Inventory Levels

1. Optimal Stock Levels:

  • Safety Stock Optimization: The platform dynamically adjusts safety stock levels based on demand variability and lead times, reducing the need to hold excessive inventory.
  • Just-in-Time Inventory: By closely aligning inventory levels with actual demand, the platform minimizes the amount of stock held at any given time, reducing carrying costs.

2. Efficient Replenishment Processes:

  • Automated Ordering: AI-driven replenishment systems automatically place orders with suppliers when inventory levels fall below certain thresholds, ensuring timely restocking without overordering.
  • Supplier Coordination: Integration with supplier systems allows for more precise ordering and faster response times, helping maintain lean inventory levels.

3. Inventory Turnover Improvement:

  • Faster Turnover Rates: Optimized inventory levels lead to quicker turnover of stock, reducing the amount of capital tied up in inventory and improving cash flow.
  • Reduced Overstock: By predicting demand more accurately, the platform helps avoid overstocking, which ties up capital and increases storage costs.

Minimize Waste

1. Minimize Obsolescence:

  • Demand-Driven Stocking: By aligning stock levels with actual customer demand, the platform reduces the likelihood of products becoming obsolete or unsellable.
  • Lifecycle Management: The platform can analyze the lifecycle of products, helping to phase out older inventory before it becomes obsolete.

2. Efficient Use of Resources:

  • Reduced Excess Inventory: By maintaining optimal inventory levels, the platform minimizes excess stock that might otherwise go to waste.
  • Improved Forecasting: Accurate demand forecasting reduces the risk of overproduction or overordering, leading to less waste.

3. Sustainable Practices:

  • Reduced Environmental Impact: By minimizing excess inventory and waste, the platform supports more sustainable business practices and reduces the environmental impact of overproduction.
  • Better Inventory Utilization: Ensures that products are sold within their optimal lifecycle, reducing the need for markdowns or disposal of unsold goods.

Our clients

Professional Equipment for Auto Service and Car Washes.

How to launch

    • Access to historical data for initiating modeling
    • Integration with external systems
    • Familiarization with the business