Prediko enables operations, inventory, and purchasing teams to replace spreadsheet-based planning with automated forecasting, clearer stock visibility, and centralized purchase order management. This helps teams reduce stockouts, recover lost revenue, and run a more reliable inventory planning process.

Business challenge

MakerFlo was managing a growing catalog of single SKUs, case quantities, and bundled products through spreadsheets, handwritten notes, and calculator-based forecasting. This created stock imbalances, weak visibility into bundle demand, limited tracking of inbound purchase orders, and low confidence in reorder timing and inventory decisions.

Solution

Prediko gave MakerFlo one connected system for automated forecasting, purchase order management, and bundle tracking. The platform helps the team understand how products move, identify at-risk SKUs, act on purchase recommendations faster, manage inbound inventory more clearly, and connect bundle demand back to base SKUs.

Key capabilities

AI forecasting for accurate demand planning
Replaces manual run-rate calculations with automated forecasting to improve reorder timing and planning accuracy.

Stock health visibility and purchase recommendations
Shows daily, weekly, and monthly sales rates, days of stock left, and which SKUs are at risk so teams can prioritize faster.

Structured PO management and supplier accountability
Lets teams generate POs, send them to suppliers, track inbound inventory, keep orders open until fully received, and manage supplier follow-up more clearly.

Bundle and multi-layer SKU tracking
Connects bundles to base SKUs and calculates total unit sales across singles, cases, and bundles for more accurate forecasting.

Connected inventory planning workflow
Brings forecasting, purchasing, and inventory monitoring into one system instead of scattered spreadsheets and manual processes.

Results

35% drop in stockouts.
15% revenue recovered.
10–12 hours saved per week on PO management.
Better inventory balance, tighter stock levels, and improved visibility across the catalog.

Industry best fit

Wholesale, B2B ecommerce, and inventory-heavy brands with complex catalogs, bundles, multiple SKU layers, and ongoing purchasing needs across suppliers and warehouses. This fit is inferred from the MakerFlo case study.