Stop running out of bestsellers and over-ordering slow movers. We implement AI-powered demand forecasting for Shopify that predicts stock requirements based on sales velocity, seasonality and trends.
Stockouts cost direct revenue and damage customer trust. Overstock ties up capital and warehouse space. At 50+ SKUs, manual inventory management based on gut feel consistently underperforms AI demand forecasting that accounts for sales velocity, seasonal patterns, lead times and trend signals.
Shopify sales history, current stock levels and supplier lead times reviewed and structured.
AI demand forecasting tool configured with historical sales data, seasonal patterns and growth trends.
Automated reorder alerts configured: low stock thresholds per SKU based on lead time and predicted demand.
Monthly demand forecast delivered: predicted sell-through by SKU, recommended order quantities and risk flags.
Forecasting setup plus monthly reports
/month
Full forecasting plus buying support
/month
Enterprise inventory AI programme
/month
Tell us about your store and goals. We reply within 24 hours with a tailored proposal.
We use Inventory Planner (integrates directly with Shopify, widely used by DTC brands), Cogsy or StockTrim depending on catalogue size and complexity. All provide demand forecasting, reorder alerts and buying recommendations.
Minimum 3 months. Ideally 12+ months to capture seasonal patterns. Newly launched products require manual adjustments until sufficient data accumulates.
Typical outcomes: 15-25% reduction in stockouts, 10-20% reduction in overstock. For a brand spending 100K per month on inventory, reducing overstock by 15% frees 15K in capital per month.
Yes. We configure the forecasting model to account for planned promotions, seasonal peaks and new product launches. Ad campaign periods can be flagged to adjust demand predictions upward.
Weekly automated updates based on the latest 90-day rolling sales data. Monthly formal reports with buying recommendations for the next 60-90 days.