up to
+10%
topline growth
New
Introducing ChemPX 2.0
Ideal prices and profit margin uplift in minutes
Stop complex price analyses and profit leakage. ChemPX 2.0 brings AI price corridors, real time series and cost forecasts to the pricing of chemical products.
- Optimized pricing frames
- Price harmonization
- Time series & cost forecasts
- Ad-hoc pricing guidance
New in ChemPX 2.0
Your pricing now has a timeline
A complete rebuild: the pricing logic of ChemPX-1 carries over, and prices, costs and margins can now be followed over time, forecast and projected.
Read the announcement-
Real time seriesPrice development, production cost and margin by week, month, quarter or year.
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Cost forecasts and projectionsForecast energy and raw material prices and project your margin up to 24 months ahead.
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AI assistants via MCPClaude and other MCP clients can work with ChemPX, under the same roles and checks as the app.
Measurable impact on growth, margin and return
up to
+15%
gross margin uplift
<1 year
payback period
potential
>100%
return on invest
Why ChemPX
Experience the power of AI in the pricing of chemical products
We offer AI-empowered pricing solutions as SaaS for chemical products that smarten up your pricing!
Our solutions are focused on pricing optimization for business owners in the chemical industry. ChemPX 2.0 trains gradient-boosting and Deep-Learning models on your deals to deliver product-specific pricing frames.
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Two model familiesQuantile gradient boosting and Deep-Learning networks deliver product-specific pricing frames instead of one-size-fits-all price lists.
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Elasticity modulesPrice elasticity per volume segment, derived from product class, capacity and interchangeability.
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External impact factorsEnergy and raw material prices as time series with forecasts, plus an adjustable market environment, to enable predictive pricing.
It’s not about managing prices, it’s about optimizing price frames and profits.
Optimize your prices
AI models determine ideal price frames on product, customer and region level.
Simulate the commercial impact
See the short- and mid-term effect of price adaptions on your key commercial KPIs in real time.
Get ad-hoc pricing guidance
Harmonized price proposals your sales team can act on immediately.
Our team
Commercial expertise in the chemical industry
Excellent proficiency in AI use-case programming and development
Products
ChemPX 2.0 — the AI-empowered software tool for price optimization
The flagship software tool dedicated to price optimization: easy and fast to implement, supported by our experts to train your specific algorithms.
No cumbersome software implementation and complex price management — but an easily accessible SaaS to support your daily sales operations.
Software as a Service
Easy & fast to implement
Expert-trained algorithms
REST API & MCP access
Floor, offer, customer and regional prices for any quantity and reference date, inside the AI price corridor.
All screens show synthetic demo data.
Price calculation
Identify price frames on product, customer and region level for any quantity and reference date, including the pass-through of current energy and raw material costs.
Simulation of commercial KPIs
Utilize AI-optimized price frames and elasticity modules to simulate effects of price adaptions on revenue, contribution and volume, harmonize pricing frames and export the proposals.
Price models you can compare
Train quantile gradient boosting or a neural network. Every training creates a version with quality metrics, and you activate the best one without a restart.
Time series
Follow price development with P10–P90 range and volume, plus production cost and margin, by week, month, quarter or year, down to customer and region.
Cost drivers and projections
Keep energy and raw material prices as time series with forecasts, and project production cost, target price and margin 6 to 24 months ahead.
API and AI assistants
A documented REST API and an MCP server with 43 tools for Claude and other MCP clients, under the same roles, checks and activity log as the web app.
Explore
How it works in practice
From your historical pricing data to harmonized price proposals — in six steps you repeat as new data comes in.
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01
Bring your data
Import your dated historical and actual deals from Excel or CSV. Every file is validated in a dry run before anything is written.
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02
Train your price models
Let gradient-boosting or Deep-Learning models learn from your deals, identify profit gaps and determine ideal price frames.
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03
Predict cost dynamics
Track and forecast key cost drivers (e.g. energy and raw material prices) and see what they do to production cost, target prices and margin.
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04
Simulate KPI impact
Simulate price adjustments on key commercial KPIs, short and mid term, to optimize profit.
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05
Get pricing guidance
Get immediate pricing guidance and harmonized price proposals: in the app, as an export or through your AI assistant.
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06
Keep learning
Retrain on new deals, compare model versions by their quality metrics and activate the best one.
Continuous improvement loop
Want to see how ChemPX 2.0 pricing optimization works in practice?
Get access to a free demo or start a pilot with your products. Experience first-hand how to streamline pricing decisions and leverage the power of price optimization.
Contact
Do you want to learn more?
Get in touch with our experts for further information, demo materials, specific offers, or requests.
- Emailcontact@chempx.de
- LinkedInFollow ChemPX
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AddressChemPX c/o unikin GmbH
Brückenstr. 11, 63628 Bad Soden-Salmünster