AI Driven Demand Planning
for Growing Brands

Connect SKU forecasts, inventory reality, BOM requirements and purchase decisions before working capital is committed.

Forecasts

12M SKU confidence

Inventory

WOS and stock risk

Procurement

ERP-ready buy plans

MULTI-TIER BOM MAPPING 4-4-5 RETAIL CALENDAR FORECAST CONFIDENCE SCORING MAPE / WAPE VALIDATION WOS BASED REPLENISHMENT OPEN-TO-BUY CONTROL ERP READY DRAFT POs FULL AUDIT TRAIL
MULTI-TIER BOM MAPPING 4-4-5 RETAIL CALENDAR FORECAST CONFIDENCE SCORING MAPE / WAPE VALIDATION WOS BASED REPLENISHMENT OPEN-TO-BUY CONTROL ERP READY DRAFT POs FULL AUDIT TRAIL
~40%
Forecast Accuracy Improvement
20-22%
Inventory Reduction
70-80%
Faster PO Creation
45-60%
Less Manual Planning Workload
Lower
Stockout Risk
6 wks
Typical Deployment

Rudder Analytics AI-Powered Demand Planning

Why Leaders Choose AI Demand Planning

01

Demand

What will sell, by SKU and new launch

  • AI Forecasting Built for SKU Decisions

    Use up to 48 months of SKU history to generate a 12-month forward forecast, aligned to seasonality, promotion lift and the 4-4-5 retail calendar.

  • Confidence Scoring for Planner Focus

    Every SKU carries a High, Medium or Low confidence label, so teams know where the model can be trusted and where human review is required.

  • Newness Planning for New Launches

    Forecast demand before launch using similar products and weighted attributes. Each launch receives 90-day and 12-month unit forecasts with a confidence score.

  • Launch Tracking to Day 90

    Track each launch against its forecast, with daily reviews in the first week and weekly reviews through day 90. Flag deviations early.

02

Stock and supply

Where stock is short, tied up or late

  • Stock Health Ranked by Sales Value

    Sort every SKU into 6 health states, from out of stock to dead stock, and rank them by 12-month sales value so the costliest gaps are fixed first.

  • Channel Level Replenishment Control

    Combine e-commerce demand net of returns with marketplace, wholesale and store replenishment requirements on one fiscal calendar. Consolidate channel requirements into one demand figure per SKU.

  • BOM Aware Inventory Planning

    Translate finished goods demand into purchasable component requirements, then consolidate shared input demand across products into one procurement view.

  • Lead Times by Product and Vendor

    Maintain product and vendor lead times alongside supplier priorities and active status. Use product-level lead times to plan replenishment.

03

Budget and buying

What to buy, on budget, with approval

  • Open-to-Buy Financial Discipline

    See what can still be bought, by category and fiscal month: sales budget cost plus EOP goal, less BOP, inbound POs and adjustments.

  • Top-Down Sales Planning

    Allocate the annual sales target across categories and SKUs. Calculate end-of-period inventory goals using target weeks of supply and lead time.

  • Constraint-Aware Buy Recommendations

    Recommend each buy with its reasoning: on-hand stock, BOM dependency and stockout timing, weighed against safety stock, target WOS, lead time, MOQ and open POs.

  • Planner Approval and Governance

    Nothing is ordered until a planner creates the PO. Approved buys are ERP-ready, and every scale override is logged with user, scope, time and reason.

Get the Answers You Need to Buy With Confidence

  • Which forecasts can planners trust?
  • Which SKUs need action now?
  • Which component buys does demand trigger?
  • What buy quantity fits constraints?
  • Will the buy stay within OTB?
  • Are overrides and draft POs traceable?
Unclear answers create delayed signals, manual reconciliation and buying decisions without full control.

Seamless Planning Workflow

Forecast Review

Sales Predictions

Review SKU demand forecasts across a 12-month horizon and surface where planner judgment is required.

History 48 months of SKU history
Horizon 12-month forecast horizon
Validation Category and SKU validation

Planning Focus

  • Forecast by channel, category, subcategory, template and SKU.
  • Align demand to seasonality, promotion lift and the 4-4-5 retail calendar.
  • Apply controlled scaling with user and timestamp visibility.
Sales(#)Sales($)
Sync from BQCommit Scaling
SKUJunJulAugConfidence
SKU 10422935581LOW
SKU 2118148190217MEDIUM
SKU 3409748296HIGH

Book an AI Demand Planning Demo

See how the platform helps planning teams review forecasts, inventory risk, replenishment needs, OTB plans and purchase order workflows in one guided product walkthrough.

Prefer email? business@rudderanalytics.com