Industry · Retail & Commerce

Inventory Optimization

Right stock, right place, right time — optimise inventory levels and allocation to cut both stockouts and excess, freeing cash without hurting availability.

0%Inventory reduced
0%Stockouts reduced
0%Working capital freed
Overview

What is Inventory Optimization?

Inventory Optimization at MindCraft Solution helps you hold the right inventory in the right locations — balancing service levels against the cost of carrying stock. We combine demand forecasts, lead times and service targets to set optimal stock and reorder levels, and to allocate inventory across your network intelligently.

Too much stock ties up cash and risks markdowns; too little loses sales. We model the trade-offs explicitly — service level versus working capital — and recommend policies (safety stock, reorder points, allocation) that hit your targets at the lowest cost, adapting as demand and supply change.

Integrated with your ERP and replenishment, the result is lower inventory, fewer stockouts, and a leaner, more responsive supply chain.

What's included

What Inventory Optimization includes

Everything you need to take inventory Optimization from idea to a dependable, owned capability.

Optimal stock policies

Data-driven safety-stock and reorder levels by SKU and location.

Multi-location allocation

Smart distribution of inventory across your network.

Service-vs-cost optimisation

Hit service targets at the lowest working capital.

Lead-time & supply modelling

Account for variable lead times and supply risk.

Replenishment automation

Recommended or automated reorder decisions.

ERP / WMS integration

Connected to your inventory and replenishment systems.

The impact

Outcomes we target

Typical results from MindCraft retail & Commerce engagements.

0%Inventory reduced
0%Stockouts reduced
0%Working capital freed
0%Service level
How we work

Our delivery model

A clear, low-risk path from first call to a running, optimized solution.

  1. 1

    Analyse

    We assess inventory, demand, lead times and service targets.

  2. 2

    Optimise policies

    We model the trade-offs and set optimal stock and reorder policies.

  3. 3

    Integrate

    We feed recommendations into your ERP / replenishment.

  4. 4

    Monitor & adapt

    We track service and stock and adapt policies over time.

Challenges we solve

From problem to outcome

The pressures we see in retail & Commerce — and how we fix them.

  • Challenge

    Generic, low-converting experiences

    How we solve it

    Personalized recommendations for every shopper.

  • Challenge

    Stockouts and costly overstock

    How we solve it

    Demand forecasting by SKU and location.

  • Challenge

    Disconnected online & in-store data

    How we solve it

    A unified Customer 360 across channels.

Tools & technology

The stack we use

PythonGoogle OR-ToolsSnowflakePandasERP / WMSSpark
Deliverables

What you get

Concrete, owned artifacts — not just advice.

  • Inventory optimisation models
  • Stock & reorder policies
  • Allocation recommendations
  • ERP / WMS integration
  • Dashboards & enablement
FAQ

Questions, answered

By optimising where and how much you hold rather than cutting across the board. Better forecasts, safety-stock modelling and smart allocation reduce excess in some places while protecting availability in others.

Yes — multi-location allocation is core: it positions inventory across your network to balance service and cost, not just set a single level.

Yes — recommendations feed your existing replenishment and inventory systems, either advising planners or automating reorders.

Often within the first planning cycles — reducing obvious excess and protecting key lines — with larger gains as policies and forecasts mature.

Ready to talk about Inventory Optimization?

Tell us where you are and what success looks like. We'll bring the right people, stack and plan — and reply within one business day.