SERVICES
Decision Intelligence
Turn ERP, CRM, and MES data into decisions, not reports. We build systems that analyze operations, predict outcomes, and recommend actions.
SAP
Oracle ERP
Salesforce
MES
Excel / flat filesYour data already knows the answer. Nobody's reasoning across it
Manufacturing systems generate petabytes of telemetry, order books, and supplier logs. But this data is locked in siloed databases, legacy ERPs, and disconnected spreadsheets—leaving planners to make critical scheduling and sourcing decisions on gut feel.
Our Decision Intelligence engines bridge the gap. We ingest data from all operational systems, run live simulations, and output optimal, risk-adjusted recommendations directly to your planners—complete with step-by-step reasoning.
Engagement Specs
From four disconnected systems to one decision feed
Six capabilities behind every recommendation
Cross-System Reasoning
Analyze data across ERP, MES, and CRM simultaneously to find hidden constraints.
Risk-Adjusted Recommendations
We evaluate multiple options and score them by cost, delivery risk, and margin impact.
Continuous Optimization
The engine continuously runs simulations as fresh data stream in.
Step-by-step Explanations
Planner recommendations come with plain-text rationale for trust and auditability.
Actionable Triggers
One-click approval to write decisions back to SAP or trigger purchase orders.
Feedback Loop
Planners can accept, modify, or reject decisions, training the model over time.
Every recommendation comes with its reasoning attached
Supplier: XYZ Components Ltd.
Supplier Risk · SAP + MES Correlation
Why:
3 late deliveries in the last 60 days, a recent credit rating downgrade, and rising defect rate on incoming inspection - correlated across ERP and quality data.
Ranked
recommendations ordered by financial or operational exposure, not alphabetically
Explainable
every score traces back to the source records behind it
Actionable
a specific next step, not just a flag
Auditable
full trail for compliance and quality review
How it runs
A typical engagement, start to first result.
Data Audit
We extract sample tables from your ERP and analyze data cleanliness.
Model Training
We configure the reasoning engine with your operational rules and constraints.
Simulation Run
We run historical simulations to benchmark engine recommendations against past planner decisions.
Direct API Integration
We connect the engine to your planner systems for active recommendations.
Decision Intelligence: Data Readiness Assessment
A 12-page guide covering data schema requirements, connection strategies, and reasoning model benchmarks for manufacturing environments. No sales call required.
Frequently Asked Questions
No. Our reasoning engine can ingest messy, incomplete tables and use LLM reasoning to resolve contradictions and map schemas automatically during processing.
Recommendations can be delivered directly inside a standalone web portal, sent via Microsoft Teams/Slack, or embedded into existing tools via REST APIs.
We run continuous historical simulations and comparative audits to verify the engine's suggestions meet or exceed human planner accuracy before deployment.
We support all major ERPs (SAP, Oracle), MES systems, relational databases (SQL, Postgres), and data warehouses like Snowflake.