Avatar Engines reconstructs the economics of enterprise value chains in a World Model, so you can see the true value behind every decision — from asset planning to customer margins.
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Software
Avatar Sphere assembles ERP data into a context-driven World Model
/01 Forge
Models production and material flows directly from ERP transactions. Handles multi-instance, multi-site landscapes with automated synchronization and error reconciliation.
Forge
/02 Query
Ask any question about the value chain in plain language — margins, cost-to-serve, capacity, customer profitability. Every number traces back to the underlying ERP transactions.
Compass
/03 Simulate
Simulates pricing, capacity, and portfolio changes before they're committed. Re-runs the full World Model to show how the proposed change affects the whole value chain.
Horizon
Applications
A standardised software to create value in every industry
/01
Advanced Manufacturing
Customer profitability
/02
Chemicals
True margin discovery
/03
Consumer Goods
Minimal inventory
/04
Pharmaceuticals
Asset planning
/05
Semiconductors
Optimal overhead distribution
Serve customers better and negotiate with full margin transparency.
Real customer profitability is hard to gauge across multiple plants around the globe, order patterns, and portfolio mix. Once orders, materials, and production runs are fully linked and identified in the Avatar Sphere model, queries can pull up recent data with precise margin estimates for each customer. Simulate changes to find optimal solutions for you and the customer during negotiations.
Pricing
Quote
new parts at their true expected cost
Portfolio
Incentivize
customers toward higher-margin components or volume adjustments
Product margins by customer — Norven Industrial
Q4 · delivered margin
VFD-75H · Variable drive
16.9%
SWG-1500 · Switchgear
9.8%
MOT-22S · Servo motor
4.8%
DRV-4400 · High-power drive
−6.4%
SHARED WITH
Sales
Ops
Finance
Shared reactors and inventories hide true margins of product-combinations.
Chemical production often distributes overheads and inventory charges through approximated averages with some adjustments. Precise margins are unknown, making it hard for commercial to identify the true profit drivers in their portfolio. Avatar Sphere allows full attribution of capacity consumption and inventory contribution per product and customer, reconciled monthly at small single-digit variance to ERP.
Commercial
Reduce
margin loss from mispriced products and high-cost customers
Strategy
Simulate
changes to the product portfolio and impact on unit costs
Top margin-negative combinations — ranked by annual impact
47 product-customer-site combinations run margin-negative at delivered cost
1 · CMS-2140 · Acct 3140 · Site 02Std +14.8%−€510K
2 · NWV-860 · Acct 3082 · Site 01Std +11.2%−€340K
3 · ROM-440 · Acct 4210 · Site 01Std +13.4%−€120K
4 · SFS-120 · Acct 4455 · Site 03Std +12.8%−€95K
Discover the physical optimum of your production network.
Create a benchmark for the minimum level that inventories can converge to, if current production and distribution patterns are executed with perfection. Once established, this serves as a guideline to monitor supply chain efficiency, spot deviations, and study scenarios for structural changes in product portfolio or asset locations.
Operations
Close
the executable inventory gap at the current network
Strategy
Redesign
portfolio or asset locations to shrink the structural gap
Inventory vs physical optimum — Miklagard Brands
Rolling 12 months · structural benchmark · executable gap
Beverages
€24.2M · gap €5.6M
Household
€31.8M · gap €9.4M
Personal Care
€14.6M · gap €3.4M
Frozen
€9.8M · gap €1.4M
Physical optimum
Current inventory
BENCHMARK · TOTAL GAP €19.8M
€12.1M executable at current network · €7.7M requires structural change.
Compare structural impact of new production line locations.
When network operations run close to the optimum, only structural changes can reduce inventory further. The Avatar Sphere world model recreates past production runs down to single production line capacities and shows where an expansion would have created the most significant relief. You can then go further and include projections or run a full overhead calculation to refine current asset planning.
Footprint
Locate
new production capacity where it relieves the most structural inventory
Inventory
Release
structural working capital by shortening lead-times to demand
New work center placement — Ivrea Biologics
Hypothetical · 12-month horizon · average inventory per product
Nevalin
Orimab
Baseline
€18.4M
€14.2M
+ Raleigh · USA
€8.9M −€9.5M
€11.4M −€2.8M
+ Cork · Ireland
€12.6M −€5.8M
€10.8M −€3.4M
BEST OPTION · RALEIGH USA
Total reduction €12.3M across portfolio, driven by shortened lead-times from US West Coast hub.
Steer pricing, capacity and inventory in one integrated model.
Determine the real cost on individual product-work center combinations. Simulate how adjusting price and volumes break down across the product portfolio. Check what happens if freed fab capacity is redeployed to higher-margin products, and whether higher prices absorb the higher overhead attribution while opening up spare capacity.
Margin
Price
lots by expected inventory cost and true overhead attribution
Capacity
Decide
about capacity allocations on the basis of overhead and margin trade-offs
HX-9400 price repositioning — Varon Semiconductors
Scenario simulation · price + capacity reallocation
TODAY
€420K
Quarterly contribution
HX-9400 · 5.2% margin
→
PRICE +8% VOLUME −15%
€396K
−€24K vs today
HX-9400 · 5.5% margin
→
+ CAPACITY TO HX-7300
€520K
+€100K vs today
HX-9400 + HX-7300 mix
Data Core
Starting point for value creation
Avatar Sphere establishes a new data core that brings all transactions across the value chain into one consistent World Model, usable for planning and reconciled with the reality of your ERP. Previously infeasible profitability improvements such as order-based costing and bottom-up asset simulation compound the value of the World Model over time.
Monthly reconciliation with ERP
Shared access via link to text queries
Inclusion of order book and forecasts
Day 1 — Lead cases
Expansion path
Company
Context for the world's enterprise data
Context is the hardest problem for AI in the modern enterprise. ERP systems store transactions, not reality. Instances are not properly synchronised, material flows are approximated, contextual relationships are lost — and with them, the ability to see where value is truly created and destroyed.
Our World Model for Value Chains is the result of years of work solving this problem: reconstructing real context and values from enterprise data, to serve as a foundation that transforms AI and ERP systems into immediate bottom-line impact.
Dirk Schulte
Co-Founder & CEO
Dirk holds a Master in Quantitative Economics & Finance from the University of St. Gallen. He and Jann have collaborated for years on simulation projects with clients in manufacturing and financial services. Work with an enterprise client on value chain modelling eventually led him to develop the concept of world models for enterprise value chains.
Dr. Jann Fridolin Müller
Co-Founder & CTO
Jann holds a PhD in Artificial Intelligence from University College London. In addition to his collaboration with Dirk, he has extensive experience leading projects in cryptocurrencies and blockchain. During his work on the value chain model, he designed the architecture required to implement a world model at enterprise scale.
Contact us about your value chain