TrueGradient provides an AI-native Planning Operating System designed for consumer brands and retailers to manage demand, inventory, and pricing. This platform replaces fragmented tools by offering an integrated command center for smarter, data-driven planning decisions. The system aims to reduce lost sales and excess inventory while improving margins through continuous learning and actionable recommendations.
Funding
$700K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
E-commerce and direct-to-consumer (D2C) brands often struggle with inefficient supply chains due to inaccurate demand predictions, suboptimal inventory levels, and ineffective pricing strategies. This leads to increased waste, lost sales, and reduced profitability. Existing planning processes often fail to integrate strategic and operational aspects, resulting in disconnected decision-making.
Solution
TrueGradient AI offers a self-serve, no-code AI platform designed to optimize supply chain operations for e-commerce and D2C businesses. The platform provides interconnected solutions for demand forecasting, inventory optimization, price and promotion planning, and assortment planning, enabling businesses to align strategic and operational planning. By analyzing historical sales data, market trends, and external factors, TrueGradient's AI models generate accurate demand forecasts. These forecasts drive optimized inventory levels, ensuring product availability while minimizing stockouts and excess inventory. The platform also facilitates the optimization of pricing and promotional strategies to maximize ROI, considering business parameters such as sell-through targets and budget constraints.
Target Audience
The primary target audience includes e-commerce and direct-to-consumer brands seeking to optimize their supply chain operations, improve demand forecasting accuracy, and reduce waste.
Features
- AI-powered demand forecasting using deep neural networks and 100+ features
- Inventory optimization to minimize stockouts and excess inventory through reorder and safety stock planning
- Price and promotion planning to maximize ROI through optimal price setting and trade promotion optimization
- Assortment optimization to optimize store product assortment considering size, location, and customer preferences
- Advanced Planning System (APS) for interconnected supply chain optimization
- Seamless data integration with SQL databases, WMS systems (e.g., Unicommerce, Shopify), ERP systems (e.g., SAP), and Google Sheets
- Actionable dashboards with insights into demand alignment, production planning, and inventory health
- Scenario planning capabilities for data-driven decision-making
- Integration with ERP tools