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CatWing

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

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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

 

Benefits

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.
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How to launch

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