Yosoku
Order Efficiently, Restock Timely, Negotiate Smartly.
Description
Yosoku provides AI-driven solutions for Shopify store owners seeking to enhance their inventory management processes. The platform leverages machine learning models tailored to individual SKUs and variants to predict future sales and demand accurately. This enables businesses to automate and manage inventory effectively, ensuring timely restocking and minimizing stockouts or overstocking situations.
By integrating historical sales data and supplier information, including quantity discounts, MOQs, and lead times, Yosoku offers comprehensive insights. It helps businesses pinpoint optimal reorder quantities, allocate stock efficiently across locations, maximize supplier discounts, and even automate purchase order creation. The tool aims to transform inventory operations from a challenge into a competitive advantage, improving cash flow, customer retention, and overall profitability for e-commerce businesses.
Key Features
- AI-Powered Demand Forecasting: Predicts future sales and demand using unique machine learning models for each SKU and variant.
- Automated Inventory Management: Advises on reorder quantities, directs stock to correct locations, and identifies over/understocked SKUs.
- Supplier Negotiation Assistance: Helps maximize quantity discounts and optimize payment terms by analyzing supplier data (MOQs, lead times).
- Automated Purchase Order (PO) Creation: Streamlines the ordering process by automatically generating POs.
- Cashflow Forecasting: Predicts future cash flow based on inventory and sales predictions.
- Analytics & Insights: Provides data on product and customer behavior for informed decision-making.
- Shopify Integration: Connects directly with Shopify stores to access sales history and manage inventory.
Use Cases
- Optimizing inventory levels for Shopify stores.
- Reducing holding costs and preventing stockouts.
- Improving cash flow by avoiding overstocking.
- Automating purchase order generation.
- Negotiating better terms with suppliers.
- Making data-driven decisions for peak sales periods.
- Forecasting demand for individual products and variants.
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