Production Planning & Supply Chain Planning with nPlan

Reduce stockouts by 58%. Cut excess inventory by 53%. Run planning scenarios in minutes. The next-gen AI-powered supply chain planning platform trusted by leading manufacturers.

Trusted by 100+ manufacturers worldwide:

Logo da Grendene
Logo da Dass
Logo da Mohawk
Logo da Incepa
Logo da Hering
Logo da Visteon
Logo da ArcelorMittal
Logo da Gonvarri
Logo da Zen
Logo da Whirlpool
Logo da All4Labels
Logo da Tigre
Logo da Premier Pet
Logo da Dana
Logo da Fitesa
Logo da Malwee
Logo da Unipac
Logo da Stellantis
Logo da FCC
Logo da Docile
Logo da Bartira
Logo da Haco
Logo da Bertolini
Logo da Mercur
Grendene — cliente NEO Digital Industries
Dass — cliente NEO Digital Industries
Mohawk — cliente NEO Digital Industries
Incepa — cliente NEO Digital Industries
Hering — cliente NEO Digital Industries
Visteon — cliente NEO Digital Industries
ArcelorMittal — cliente NEO Digital Industries
Gonvarri — cliente NEO Digital Industries
Zen — cliente NEO Digital Industries
Whirlpool — cliente NEO Digital Industries
All4Labels — cliente NEO Digital Industries
Tigre — cliente NEO Digital Industries
Premier Pet — cliente NEO Digital Industries
Dana — cliente NEO Digital Industries
Fitesa — cliente NEO Digital Industries
Malwee — cliente NEO Digital Industries
Unipac — cliente NEO Digital Industries
Stellantis — cliente NEO Digital Industries
FCC — cliente NEO Digital Industries
Docile — cliente NEO Digital Industries
Bartira — cliente NEO Digital Industries
Haco — cliente NEO Digital Industries
Bertolini — cliente NEO Digital Industries
Mercur — cliente NEO Digital Industries

Supply Chain Planning Challenges nPlan Solves

Most manufacturers still rely on spreadsheets and disconnected systems for production planning. The cost? Stockouts, excess inventory, and reactive decisions. Sound familiar?

Finite capacity planning icon
📊

Spreadsheet-Based Planning

Fragmented Demand Planning

Planning in Excel consuming entire months from your team — customers like  reduced a full-month manual process to just two weeks of partial dedication after implementing nPlan.

Client satisfaction delivery icon
⏱️

Disconnected S&OP Cycles

Unreliable Delivery Promises

Long preparation cycles for S&OP reviews, slow response to demand changes, supply disruptions, and lack of consolidated visibility across finished goods, WIP, and raw materials.

Productivity increase capacity icon
🔧

No Scenario Simulation

Disconnected S&OP Process

Decisions made without simulating demand variations, capacity constraints, or material risks. No ability to test what-if scenarios before committing to a plan.

Inventory stockout icon
📦

Unhealthy Inventory Levels

Excess Inventory & Frequent Stockouts

Excess stock tying up capital while critical items face stockouts. No integrated view of inventory health across finished goods, semi-finished, and raw materials.

nPlan: AI Next-Gen Production Planning & Supply Chain Planning Software

nPlan is a cloud-native supply chain planning platform that integrates demand forecasting, inventory optimization, capacity planning, and order management. Built for complex manufacturing environments, nPlan replaces spreadsheets with automated, AI-powered planning across your entire supply chain.

Stockout
Reduction

>50%
Stockout Reduction

Customers reduced material stockouts by up to 58% after implementing nPlan, thanks to early identification and continuous demand projection.

Excess Inventory Reduced

>50%
Stagnant Inventory Reduction

Customers eliminated up to 56% of stagnant and obsolete inventory, freeing working capital and strengthening availability of critical items.

Scenarios
Simulated

+100
Planning Scenarios

Over 100 planning scenarios generated per month, enabling data-driven tactical decisions and consistent alignment across departments.

Proven ROI from Supply Chain Planning Projects

The investment happens once. The gains compound year after year. Data from 30+ publicly documented industrial projects across planning and scheduling.

15+
Industries served — from food & beverage and fashion to automotive, chemicals, polymer packaging, and more
6-12
Months to full payback — companies from different sectors saw results within the first planning cycles.
300-900%
AI-powered forecasting methods allow you to generate better forecasts and connect them to your operations processes.
US$630K
Reduction in obsolete inventory at Unipac through integrated demand sensing and automated replenishment planning

Real Results from Our Supply Chain Planning Clients

“nPlan made our routine more organized, reliable, and agile. As a key user, it enabled us to standardize practices, support teams, and continuously improve our planning process.”

UNIPAC · Automotive Plastic Supplier

“nPlan elevated our Supply Chain decisions and brought speed, confidence, and an integrated view. It significantly improved inventory health, reduced excess, and freed working capital.”

MALWEE · Fashion & Apparel

"We were able to significantly reduce the team's effort, especially in activities that were very operational. This has created the possibility of creating more efficient scenarios for the factories, which has positively impacted our level of service."

ROCA INCEPA · Ceramics
eBook How to Make Money with a Supply Chain Planning Project - book cover mockup

Free eBook: How to Make Money with a Supply Chain Planning Project

An executive guide with data from 30+ documented projects. Learn the three sources of ROI, how to build a credible business case, and a step-by-step payback formula you can apply today.

Thank you for your download! Have a nice reading!
Oops! Something went wrong. Try again.
APICS CPIM Certified — Certified in Planning and Inventory Management

Talk to our Supply Chain Planning specialists

Get a personalized assessment of your operation from APICS CPIM-certified consultants. We’ll help you identify opportunities for improvement in production planning, inventory health, and supply chain performance.

THANK YOU FOR REACHING US! SOON, ONE OF OUR SPECIALISTS WILL CONTACT YOU.
Oops! Something went wrong. Try again.