TL;DR: AI Demand Planning

Soberan is an AI demand planning software that forecasts product demand at the SKU level using machine learning. The platform analyzes historical sales data, seasonal patterns, and market trends to generate accurate forecasts. It automates replenishment by generating purchase orders automatically. Improves forecast accuracy by 40%, reduces stockouts by 60%, and implements in 30 days. Pricing from $499/month.

AI-Powered Demand Planning Software

Forecast demand at the SKU level with machine learning. Automate replenishment. Improve forecast accuracy by 40%. Implementation in 30 days.

Request a Demo See How It Works

-60%

Stockout Events

+40%

Forecast Accuracy

-35%

Carrying Costs

Days to Implement

Why Traditional Demand Planning Fails at Scale

Traditional methods were not designed for the complexity of modern commerce.

Spreadsheets

Spreadsheets are static, error-prone, and don't scale beyond 1,000 SKUs. They can't incorporate seasonality, market trends, or real-time multi-channel data.

ERP Modules

ERP modules use rigid rule-based methods that require constant manual tuning. They take 6-12 months to implement and don't adapt to changing market conditions.

Data Silos

Supply chain data lives in separate silos: ERPs, WMS, sales channels, 3PLs. Without a unified view, forecasts are incomplete and inaccurate.

How AI Demand Planning Works

From fragmented data to autonomous replenishment in 30 days.

Connect Your Data

Connect ERPs, sales channels, 3PLs, and data warehouses. Soberan unifies all your supply chain data into a single platform.

AI Analyzes Your History

Machine learning models analyze 24 months of historical data. They identify seasonal patterns, trends, and anomalies at the SKU level.

Forecasts with Confidence Scores

Receive daily SKU-level demand forecasts with confidence scores. Models continuously recalibrate with new data.

Automated Replenishment

Purchase orders and warehouse transfers are generated automatically. Respects MOQs, lead times, and supplier constraints.

Demand Planning Capabilities

SKU-Level Demand Forecasting

Granular forecasts for every product variant. AI analyzes sales velocity, seasonality, and trends for each individual SKU.

Seasonal Pattern Recognition

Automatically detects seasonal cycles, holidays, and recurring events. Adjusts forecasts proactively to prevent stockouts during demand spikes.

Promotion Impact Modeling

Predicts the impact of promotions, discounts, and marketing campaigns on demand. Plan inventory for sales events before they happen.

Supplier Intelligence

Monitors supplier reliability, lead times, and risk signals. Adjusts the demand plan based on actual performance of each supplier.

Multi-Channel Optimization

Unifies demand from Shopify, Amazon, WooCommerce, physical stores, and B2B. A single integrated forecast that considers all sales channels.

Safety Stock Analysis

Automatically calculates optimal safety stock levels per SKU, considering demand variability, lead times, and target service levels.

Traditional vs AI Demand Planning

Capability	Spreadsheets	Legacy ERP	Soberan AI
Demand Forecasting	Manual	Rule-based	Adaptive AI/ML
Implementation	Minutes	6-12 Months	30 Days
Accuracy	Low	Medium	85-95%
Scale	<1K SKUs	Limited	50M+ SKUs
Replenishment	Manual	Semi-auto	Fully Automated
Learning	None	None	Continuous

What is Demand Planning?

Demand planning is the process of forecasting future product demand to optimize inventory, production, and supply chain decisions. It is a critical component of supply chain management that helps businesses have the right products, in the right quantities, at the right time.

Traditional demand planning methods rely on spreadsheets and static rules that cannot adapt to changing market conditions. AI demand planning transforms this process by using machine learning algorithms that analyze historical data, seasonal patterns, promotion impact, and external factors to generate more accurate, actionable forecasts.

Effective AI demand planning reduces stockouts (which cost the industry $1.8 trillion annually), decreases carrying costs by eliminating excess inventory, and frees working capital trapped in unsold products. Soberan automates this entire process: from forecasting to purchase order generation.

Demand Planning by Industry

Retail & E-commerce Food & Beverage Fashion & Apparel Manufacturing Wholesale & Distribution Health & Beauty View All Industries

Demand Planning FAQ

What is AI demand planning?

AI demand planning uses machine learning algorithms to analyze historical sales data, seasonal patterns, market trends, and external factors to predict future product demand at the SKU level. Unlike traditional rule-based methods, AI continuously adapts to changing market conditions.

How is Soberan different from ERP planning modules?

ERP modules use static rule-based methods that require constant manual adjustment. Soberan uses adaptive AI that learns from your data and continuously improves. Implementation takes 30 days vs 6-12 months for ERPs, and Soberan integrates on top of your existing ERP without replacing it.

How accurate are the demand forecasts?

Soberan customers typically achieve 85-95% forecast accuracy, with an average 40% improvement over previous methods. The AI analyzes 24 months of historical data and recalibrates daily, continuously improving with each data cycle.

How long does it take to implement demand planning with Soberan?

Full implementation takes 30 days: Days 1-7 for data ingestion and system connection, Days 8-15 for ontology mapping, Days 16-23 for AI model calibration, and Days 24-30 for go-live and team training.

Does Soberan work with Shopify, Amazon, and other sales channels?

Yes. Soberan integrates natively with Shopify, Amazon, WooCommerce, BigCommerce, and other sales channels. It also connects with ERPs (SAP, NetSuite, QuickBooks), 3PLs (ShipBob, ShipStation), and data warehouses (Snowflake, BigQuery).

What is the difference between demand planning and demand forecasting?

Demand forecasting is a component of demand planning. Forecasting predicts how much demand there will be; demand planning uses those forecasts to make decisions about inventory, replenishment, production, and resource allocation. Soberan covers both: it forecasts demand and automates the resulting actions.

Which industries benefit most from AI demand planning?

All industries with physical inventory benefit: e-commerce, retail, food & beverage, fashion, manufacturing, wholesale distribution, health & beauty, and electronics. Soberan is especially effective for companies with multiple SKUs, sales channels, and warehouses.

Can Soberan handle millions of SKUs?

Yes. Soberan's platform manages over 50 million SKUs and over $2 billion in inventory. The architecture is designed to scale with sub-second response times even at enterprise scale.

AI Inventory Management Supply Chain AI All Products Capabilities Pricing

Ready to Automate Your Demand Planning?

Implementation in 30 days. No ERP replacement. No expensive consultants.

Request a Demo