We turn ERP, Excel and report data into decisions that produce measurable financial impact in 21 days - not six months.
Five signals we encounter daily at clients in manufacturing and distribution.
CFOs and controllers manually assemble Excel sheets instead of making decisions. Data exists - just spread across twenty different files and several people's heads.
You feel something's off, but ERP won't show you contribution per SKU.
Dead stock, slow movers - you know they exist, but the list is too long to review manually.
No time to become an analyst. Needs ready recommendations, not another dashboard.
The system isn't bad - it's used at 30%. The interpretation layer is missing.
Hits home? These are exactly the areas we work in.
We don't deploy a new ERP. We don't build another dashboard. We take what you have - ERP, Excel, supplier list, production report - and add an AI layer that gives concrete advice: clear that, order this, sell below cost.
Each project delivers analysis, recommendations and procedures - not software.
Identification of frozen capital in inventory, recommendations for clearance and purchasing policy changes. Our flagship project - typically releases 5-15% of warehouse value in the first quarter.
ERP/Excel data audit + interpretation layer. What's really happening in your company.
Margin analysis per product, customer, channel. Procedures to maintain quality going forward.
In one hour we'll identify the most pressing problem and the fastest ROI path.
Projects built on a proven stack - chosen for client needs, not trends.
Primary model for analysis, reasoning and agent work.
EU model - data sovereignty, alternative for restricted environments.
Relational database for production and logistics - proven at enterprise scale.
Hosting in Europe - client data stays in EU, GDPR compliant.
Data flow automation between systems without writing code from scratch.
Tools for companies that want to deploy AI more broadly - from operations automation to dedicated team assistants.
Visit AIKreacja.plAnonymized analysis of irregular demand patterns. Data consistent with published ProdLeo case study (03.2026).
European manufacturing & distribution company, B2B clients on Sage 100 ERP. Standard methodology classified 71% of items as stable demand - reality: 99% had irregular patterns. After analysis: full deviation map and clear rules on what to order, when and how much.
Full case study at prodleo.com
20 years working with operational data in manufacturing and trading companies.
I spent 6 years in French manufacturing R&D. Daily wrestling with deadlines, process errors and profitability fights. I saw how unstructured data destroys the potential of even the best companies.
Today I combine that operational experience with modern technology (PRINCE2®, Agile, Lean Management) to help trading and distribution companies make better decisions. I don't sell software. I deliver answers - concrete numbers and recommendations that translate to financial outcomes.
Each level delivers concrete results. You can stop at any stage.
One-hour session: identify the most urgent problem and fastest ROI path.
Full analysis of selected area with quality maintenance procedures. 1-4 weeks.
Ongoing collaboration - AI assistant in your team, quarterly iterations, custom agents.