RESOLVE · REPLENISHMENT PLANNING

Replenishment Planning That Thinks Like Your Best Buyer

ForecastWorx generates supplier-aware, constraint-based order recommendations that respect MOQs, lead times, and rounding rules — giving buyers back hours every week.

This feature is part of the ForecastWorx connected planning platform — an AI-native system where demand forecasting, inventory optimization, replenishment automation, and supply planning share the same data layer and work together in real time. Every capability described below is designed to reduce manual effort, improve decision quality, and deliver measurable business outcomes for planning teams across retail, wholesale, CPG, and manufacturing.

Stocky alternative for reorder and purchase-order planningShopify Admin offers basic Sidekick reorder suggestions; policy-driven, time-phased replenishment is not native.
5+ hrs
Saved per buyer per week
Through automated order generation
95%+
Order recommendation acceptance
Minimal manual adjustments needed
40%
Faster supplier alignment
With integrated lead time tracking

Perspectives

Less time building orders, more time managing suppliers

Automated recommendations handle the routine so buyers can focus on strategic sourcing and supplier relationships.

  • Auto-generated purchase orders by supplier
  • Exception-based review with bulk actions
  • Supplier performance scorecards
  • Lead time variance tracking

Capabilities

Automated Order Generation

Time-phased replenishment recommendations based on demand forecasts, inventory policies, and supply constraints.

Supplier Constraint Management

MOQs, pack sizes, lead times, capacity windows, and supplier calendars are built into every recommendation.

Order Review Workflows

Buyers review, adjust, and approve orders in structured workflows with exception highlighting and bulk actions.

Lead Time Tracking

Monitor actual vs. quoted lead times by supplier to improve planning accuracy and identify reliability issues.

Transfer Optimization

Generate inter-location transfer recommendations to rebalance inventory across your network.

Purchase Order Consolidation

Combine orders across items and locations to meet supplier minimums and optimize freight.

How it works

Step 01

Calculate Requirements

ForecastWorx projects net requirements by item-location based on demand forecasts, on-hand inventory, open orders, and safety stock targets.

Step 02

Apply Constraints

The system applies supplier MOQs, pack sizes, lead times, and capacity constraints to generate feasible order quantities.

Step 03

Review Exceptions

Buyers receive a prioritized worklist of orders needing review — urgent shortages, large orders, or constraint conflicts.

Step 04

Approve & Release

Approve orders individually or in bulk, then release to your ERP or procurement system for execution.

Step 05

Track & Learn

Monitor order fill rates, lead time accuracy, and supplier performance to continuously improve planning parameters.

Frequently asked questions

Does ForecastWorx replace my ERP's MRP?

ForecastWorx complements your ERP by providing more intelligent, demand-driven replenishment recommendations. Orders can be released back to your ERP for execution.

How are supplier constraints handled?

MOQs, pack sizes, lead times, capacity windows, and supplier calendars are all configurable per supplier-item combination and factored into every order recommendation.

Can buyers still adjust recommendations?

Absolutely. ForecastWorx provides structured review workflows where buyers can adjust quantities, timing, and sourcing before approval. The goal is to reduce manual work, not eliminate buyer judgment.

Does it support inter-warehouse transfers?

Yes. ForecastWorx can generate transfer recommendations to rebalance inventory across locations based on demand patterns and stock positions.

Automate your replenishment planning

See how ForecastWorx saves buyers 5+ hours per week with intelligent order recommendations.

"In supply chain, the companies that see demand before it arrives will be the ones that survive."
— MIT Sloan Management Review