Supply Chain AI Analyst
Enabling supply chain professionals at all levels to make smarter decisions on shared objectives: Increase On Time in Full Reduce Cost Per Order Reduce Cost Per Ton Improve Perfect Order Rate
Meet Our AI Analysts
- Enabling supply chain people at all levels to make smarter
Enabling supply chain people at all levels to make smarter decisions on objectives :
- decisions on objectives such as:
Increase On Time in Full Reduce Cost Per Order Reduce Cost Per Ton Improve Perfect Order Rate
Why You Need a Plan AI Analyst
The Problem:
Traditional planning relies on static forecasts and siloed data, leading to mismatched supply-demand, costly expedite shipments, and unnecessary warehousing costs.
Why It Hasn’t Been Solved Until AI
ERP and planning tools work in isolation and can’t simulate the impact of multi-variable changes across the network in real time. Trade-offs between cost, service, and inventory are rarely optimized dynamically.
How AI Analysts Solves it:
Plan AI Analysts run continuous “what-if” simulations on live data to optimize production, sourcing, and distribution simultaneously, reducing total transportation, warehousing, and DC operating costs as a % of sales.
With ProfitOps:
ProfitOps Plan AI Analysts deliver dynamic, self-adjusting plans that cut total supply chain cost and boost margins, making cost optimization a continuous capability rather than a quarterly exercise
Explore Capabilities
Domain Specific Capabilities
Demand Forecasting with External Signals
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Promotion Planning and Optimization
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Core Analytical Capabilities
Automated Cause-Effect Discovery
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Trade-Off Analysis : What-if” & “if-not
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Domino Effect Detection
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Natural Language Interface
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Data Mapping & Metrics
6-Dimensions of Data Quality
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Generative KPIs
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Data Catalog
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AI-Powered Data Enrichment
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Why You Need a Source AI Analyst
The Problem:
Excessive safety stock and rigid supplier MOQs lock up millions in working capital, while long lead times create hidden buffers that are hard to remove
Why It Hasn’t Been Solved Until AI
Supplier performance and lead time variability are often invisible until it’s too late. Static sourcing decisions can’t adapt quickly enough to demand changes.
How AI Analysts Solves it:
Source AI Analysts monitor supplier behavior, detect early warning signals, and dynamically adjust order quantities and schedules to keep inventory days low.
With ProfitOps:
ProfitOps Source AI Analysts reduce inventory by 10%+ while improving supplier reliability—unlocking working capital without hurting service.
Explore Capabilities
Domain Specific Capabilities
Automated Supplier Risk Profiling
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MOQ & Contract Impact Simulation
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Category & SKU-Level Risk Ranking
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Inventory Positioning & Allocation
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Core Analytical Capabilities
Automated Cause-Effect Discovery
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Multi-Variable What-If Simulation
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Domino Effect Mapping
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Natural Language Interface
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Data Mapping & Metrics
6-Dimensions of Data Quality
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Generative KPIs
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Data Catalog
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AI-Powered Data Enrichment
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Why You Need a Make AI Analyst
The Problem:
Inefficiencies, such as overproduction, excessive changeover time, unplanned downtime, and quality defects, quietly erode margins.
Why It Hasn’t Been Solved Until AI
Traditional MES and ERP log events but can’t predict waste or tie operations to financial impact, making optimization rare and reactive.
How AI Analysts Solves it:
Make AI Analysts unify schedules, equipment, quality, and material data to spot inefficiencies early, test scenarios, and optimize throughput, quality, and cost.
With ProfitOps:
ProfitOps Make AI Analysts create a self-improving production environment reducing scrap, shortening changeovers, and increasing yield translating operational efficiency directly into higher margins
Explore Capabilities
Domain Specific Capabilities
Waste Detection
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Yield Improvement
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Downtime Reduction
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Inventory Positioning & Allocation
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Core Analytical Capabilities
Automated Cause-Effect Discovery
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Multi-Variable What-If Simulation
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Domino Effect Mapping
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Natural Language Interface
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Data Mapping & Metrics
6-Dimensions of Data Quality
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Generative KPIs
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Data Catalog
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AI-Powered Data Enrichment
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Why You Need a Deliver AI Analyst
The Problem:
Fragmented visibility across distribution, transportation, and warehousing creates missed delivery windows and inflated logistics costs.
Why It Hasn’t Been Solved Until AI
TMS and WMS systems optimize locally but fail to consider end-to-end network performance or cross-functional impacts.
How AI Analysts Solves it:
Deliver AI Analysts model the entire network, rebalancing inventory across nodes, rerouting shipments, and selecting the optimal carriers in real time.
With ProfitOps:
ProfitOps Deliver AI Analysts improve OTIF rates and reduce freight costs, driving both customer loyalty and margin improvement.
Explore Capabilities
Domain Specific Capabilities
Inventory Positioning & Allocation
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Core Analytical Capabilities
Automated Cause-Effect Discovery
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Multi-Variable What-If Simulation
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Domino Effect Mapping
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Natural Language Interface
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Data Mapping & Metrics
6-Dimensions of Data Quality
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Generative KPIs
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Data Catalog
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AI-Powered Data Enrichment
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Why You Need a Performance AI Analyst
The Problem:
Decisions across functions often create hidden upstream or downstream impacts, eroding revenue or margins without leaders noticing until it’s too late.
Why It Hasn’t Been Solved Until AI
Traditional KPIs are siloed and can’t show how a change in one area affects the whole enterprise in real time.
How AI Analysts Solves it:
They aggregate metrics from all AI Analysts, detect leaks early, and simulate actions to avoid trade-offs that hurt overall performance.
With ProfitOps:
ProfitOps Deliver AI Analysts improve OTIF rates and reduce freight costs, driving both customer loyalty and margin improvement.
Explore Capabilities
Domain Specific Capabilities
Yield Improvement
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Downtime Reduction
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Inventory Positioning & Allocation
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Core Analytical Capabilities
Automated Cause-Effect Discovery
- Learn more
Multi-Variable What-If Simulation
- Learn more
Domino Effect Mapping
- Learn more
Natural Language Interface
- Learn more
Data Mapping & Metrics
6-Dimensions of Data Quality
- Learn more
Generative KPIs
- Learn more
Data Catalog
- Learn more
AI-Powered Data Enrichment
- Learn more