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GroovyMark WebX
AI & Automation

AI-Powered Inventory & Demand Forecasting

Less stockout, less overstock

Forecasts that beat your spreadsheets — and explain themselves.

Timeline: 8 – 16 weeks
Deliverables: 4
AI-Powered Inventory & Demand Forecasting
Overview

What we build, and why it works.

Spreadsheet-based forecasting can't see the patterns hiding in your data: seasonality, weather, promotions, cannibalisation, lead-time variability. We build forecasting systems that feed your replenishment with better numbers — and surface their reasoning so your planners trust them.

What you get

  • Forecast engine
  • Planner UI
  • ERP/WMS integration
  • Model monitoring
Capabilities

Built around the features that actually matter.

Demand forecasting

Per-SKU per-location forecasts with confidence intervals.

Causal features

Promotions, weather, holidays, pricing, and competitor signals.

Replenishment optimisation

Reorder points, safety stock, and PO recommendations.

Scenario planning

What-if analysis for promos, launches, and supply disruptions.

Explanations

Top drivers per forecast so planners can sanity-check.

ERP & WMS sync

Push recommendations into your operational systems.

Business benefits

What this looks like on your scorecard.

  • Lower carrying cost from reduced overstock
  • Higher service levels via better safety stock
  • Faster planner cycles with auto-recommendations
  • Better promo planning through scenario tools

Common use cases

Where we've shipped this, or something close to it.

  • Retail & DTC replenishment
  • Wholesale distribution
  • Manufacturing raw-material planning
  • QSR ingredient forecasting

Typical tech stack

PythonProphet / Nixtla / DeepARSnowflake / BigQuerydbtNext.jsAirflow / Dagster
How we ship

Our delivery process for ai-powered inventory & demand forecasting.

01
Step 1

Data audit

Sales history, master data, exogenous signals.

02
Step 2

Model build

Baselines, ML models, evaluation harness.

03
Step 3

Productionise

Pipelines, UI, recommendation engine.

04
Step 4

Iterate

Monitor accuracy, retrain, expand scope.

AI-Powered Inventory & Demand Forecasting

Let's scope your ai-powered inventory & demand forecasting.

Share a few details about your goals and constraints — we'll respond within one business day with sharper questions and a recommendation.