Business Mann schaut auf Uhr

Meta-Study

Planning is key
How can industrial companies escape crisis mode?

Mockup Meta-study: Planning is key

In the study, you will learn:

  • What the path out of crisis mode looks like: from Excel islands to integrated, data‑driven planning – with quick wins and a clear roadmap
  • Which benchmarks for forecast errors, delivery performance, setup costs, and skilled‑labor shortages can serve as a sound basis for decision‑making
  • How AI‑supported planning can increase efficiency by 20–30% and measurably improve resilience
  • Which short‑, medium‑, and long‑term steps are required – from the maturity check through data preparation and scenario planning all the way to autonomous planning

The authors

Basarhina Darya Vice President Sales & Marketing bei valantic Supply Chain Excellence

Darya Basarhina - Vice President Sales & Marketing waySuite, valantic

As Vice President Sales & Marketing, Darya Basarhina is responsible for the further development and market positioning of the valantic waySuite. Drawing on her many years of experience in selling supply chain software and logistics solutions for the manufacturing industry, she develops tailored strategies and offerings for production companies in her role as Practice Manufacturing Lead.

Henrik Druener - statista

Henrik Drüner - Managing Editorial Researcher & PM, Statista

Henrik Drüner is a co‑author of the meta‑study. He specializes in data‑driven analyses, benchmarks, and project management – with a focus on industrial insights.

From crisis mode to planning excellence

Industrial companies are under pressure: volatile demand, disrupted supply chains, rising costs, and a shortage of skilled workers. The meta‑study shows how integrated, AI‑supported planning becomes the most powerful lever for stability, reliability, and better decision‑making – operationally today, strategically tomorrow.

  • How to move from static processes to integrated planning workflows
  • Which architectures and technologies (ERP, APS, MES, AI) have proven themselves
  • Which KPIs and maturity levels make progress and impact measurable

From quick wins to transformation

 Concrete recommendations for action guide you step by step out of crisis mode: cleaning up data, automating data transfers, establishing scenarios and stress tests – and then scaling up until autonomous, AI‑supported planning becomes the standard. 

These topics await you in our meta‑study:

Why planning excellence is the biggest lever for EBIT and service: causes of current volatility, typical planning pitfalls (e.g. forecast deviations), and how integrated, end‑to‑end processes shorten response times and increase delivery reliability.

Pragmatic steps ranging from the maturity check through data and process hygiene, scenario planning, and robust ATP/CTP logics all the way to a scalable target architecture – including prioritization by impact and effort.

How ERP, APS, and MES interact, which roles and skills are required, and how AI will enable autonomous planning by 2030. Including best practices for governance, change management, and measurable results.

A valantic meta‑study – in cooperation with Statista

Statista logo

Download the meta‑study now!

Straight to the study: quick wins, maturity check, and scenario planning – step by step out of crisis mode.

Start download?

Quick wins, maturity check, and scenario planning – step by step out of crisis mode.

Start download now