Demand forecasts by SKU and variant
Use actual sales history, seasonality, current stock, and lead times to see what each product needs next.
Spark forecasts demand by SKU, recommends what to reorder and when, and drafts the PO your team approves—across Shopify, Amazon, wholesale, and every place you hold stock.
Connect Shopify, ask Sparki, or onboard through your AI assistant over MCP.
Connect the live channel, build the historical demand signal, and turn every SKU's position into a reviewed purchasing decision.
STEP 01
Products, variants, orders, and live channel context flow into the inventory workspace.
INPUT SIGNALS
CHANNEL
Shopify connected
From reporting to decision-making
Stop stitching together exports, reorder-point tabs, supplier sheets, and gut feel. Give the person responsible for inventory one place to see risk and approve the next move.
Use actual sales history, seasonality, current stock, and lead times to see what each product needs next.
See what to buy, when to buy it, and how much—with the underlying demand and stock risk visible to your team.
Turn recommendations into supplier-ready POs, adjust quantities, and approve without rebuilding the plan in a spreadsheet.
Keep Shopify at the center while accounting for Amazon, wholesale, warehouses, and other places your inventory moves.
Live in minutes, useful from day one
Connect Shopify, then let Sparki—or your AI assistant over MCP—bring in the history and supply data Spark still needs.
Spark highlights stockout risk, excess stock, demand changes, and the purchase decisions that need attention.
Adjust recommendations when needed, approve the draft PO, and keep a clear record of why the decision was made.
Shopify inventory FAQ
No. Shopify remains your commerce platform. Spark becomes the inventory planning and operations layer that turns channel data into forecasts, reorder decisions, purchasing workflows, and cross-channel stock visibility.
Spark is built for multichannel and multilocation operations. Your workspace can reflect the stores, warehouses, and channels through which inventory actually moves.
Yes. Sparki can onboard the data you already have in app, or your own assistant can run the governed workflow over Spark MCP. Both paths validate the data and present the import for approval.
Spark uses products, orders, inventory, sales history, and supply inputs to calculate demand, surface stock risk, recommend reorder quantities, and prepare draft purchase orders for review.
Plans start at $199 per month. You can start free for 14 days; higher tiers add more warehouses, users, manufacturing workflows, and AI automation volume.
Bring the data you already have. Spark will turn it into the decisions your team needs to review.