Kalkhoff · Pon Bike Group The real demand behind dealer stock Kalkhoff sells e-bikes and bicycles through dealers. paretos separates actual market demand from sell-in data, running as an Intelligence Layer on SAP IBP. Dealer inventory and replenishment come next.
Watch the webinar (German) Manufacturing and production
Plan production around real demand
Socrates calculates demand and production plans under the constraints that matter to you, such as staffing and machine capacity. Socrates recommends, your planning team approves.
+50%
Forecast accuracy · Faller Packaging
−50%
Out-of-Stocks · HelloFresh
−18%
Working hours in the test phase · HelloFresh
Companies planning with paretos
Starting point
Production follows the plan, and the plan follows estimates
Many manufacturers plan on the basis of sales estimates and customer feedback. The result is often high safety stock, especially with high service-level targets.
Forecasts built on estimates
Sales and customers supply the numbers, often spread linearly across the year. Seasonal patterns by product category often stay hidden.
Sell-in instead of market demand
If you sell through retailers, you often only see what ships. What reaches the end customer stays unclear.
Manual planning
Staffing, demand and machine capacity change constantly. A weekly plan built by hand can hardly keep up.
How it works
From forecast to approved production plan
- 01
Objective forecast
Socrates forecasts medium- to long-term demand from your ERP data as a rolling forecast. It sits next to the sales estimate as an objective second opinion.
- 02
See real demand
With retailer or end-customer data, such as sell-out or registration data, Socrates separates actual market demand from sell-in effects. How new models replace their predecessors is factored in too.
- 03
Plan under constraints
Staffing, machine capacity and demand flow into an optimized production plan, even in short cycles. Socrates recommends, people approve.
Company Brain
How orders become a production plan
Orders, your goals, capacity rules and the experience from your S&OP are the basis of your production planning. Socrates turns all of this into your Company Brain: company-owned, traceable and more valuable with every decision.
The forecast step, using Faller Packaging as an example
Data arrives
Historical orders plus customer and product structure come from the ERP.
The forecast is calculated
paretos calculates a rolling forecast and makes visible the seasonality hidden in customer forecasts that often run linearly.
S&OP approves
In S&OP, the forecast sits next to the sales estimate as a second opinion, and the team decides.
Socrates
Decision layer
S&OP team & planning agent,
hand in hand
PeopleAgents
Forecast Production plan Chat
Proposals ↑ · Learning ↓
Company Brain
Your Company Brain
Service-level targets, staffing, machine capacity and corrections from sales and S&OP in one place. Learns with every approval.
Decision Engine
Agentic AI
Remembers every correction from S&OP and explains why the plan looks the way it does.
ContextLearnings
Expert Engines
Demand forecast from orders and dealer data, turned into a production plan within capacity and staffing. No LLM.
Demand forecastProduction planCapacity
Context ↑ · Learning ↓
Read ↑ · Write-back ↓
Your knowledge
Extraction · Linking
Knowledge & signals
Dealer and registration data, seasonality and sales estimates
Your systems
Connectors · Pipelines
Systems
ERP, SAP IBP and planning tools
Customer Story · Faller Packaging
The second opinion in S&OP
Faller Packaging makes folding cartons, package inserts and labels for pharma and cosmetics. Planning used to rely on estimates from sales and feedback from customers.
Today paretos delivers an objective forecast based on ERP data in the S&OP process, rolled out in four months. Customer forecasts often run linearly across the year, says Nils Höpker, Director Executive Projects. paretos makes the hidden seasonality visible.
Forecast accuracy
+50%
Planning basis
Objective forecast from ERP data
Before: Sales estimates, customer feedback
Planning horizon
Up to 16 months, rolling
At Faller: no regulatory validation needed
At Faller, paretos runs purely as a planning tool, separate from GMP-critical processes such as production and batch tracking. We review the requirements for your case together with you.
“Thanks to optimized production planning, we have reduced the number of hours worked, spread machine utilization more evenly and thereby increased the overall capacity of our production site.”
Another customer
Manufacturer with a dealer network
Features
What your planning gets
Rolling forecasts, medium to long term
Sell-in and market demand kept apart
Predecessor-successor logic for model changes
Production planning under staffing and machine capacity
Integration with SAP IBP, OMP and APS
EU hosting, Made in Germany
A planning agent prepares the plan and explains it
Learns from every correction in S&OP
Questions about the plan, answered in chat
FAQ
Frequently asked questions
Getting started and data
Planning and control
Consultation
Assess your potential
Want to know whether paretos is the right fit for you? Book a no-obligation consultation.