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
Plan AI Analyst
Helps planners find what drove yesterday’s results, test alternate scenarios, and show ripple effects—so they can act faster, repeat wins, prevent losses, and protect margins.
Works for:
- Forecast Analysts
- Inventory Analysts
- Pricing Analysts
- Promotion Analysts
Objective:
Identify top 5 margin erosion drivers in last 24 hrs
- Opportunities found in last 24 hrs
- Price Reductions
- Raw Material Costs
- Customer Discounts
- Forecast Accuracy
- Demand Shift
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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Multi-Variable What-If Simulation
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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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Source AI Analyst
Helps sourcing teams find drivers of excess inventory, test alternate strategies, reveal cost and reliability impacts, and keep inventory lean while maintaining service.
Works for:
- Sourcing Analysts
- Procurement Analysts
- Category Managers
Objective:
Pinpoint top 5 supplier risk drivers in last 24 hrs
- Opportunities found in last 24 hrs
- Late Receipts
- MOQ Rise
- Longer Lead Times
- Freight Hike
- Cost Data Gaps
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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Make AI Analyst
Helps manufacturing teams boost margins by cutting waste, improving yield, and syncing schedules with real-time demand and resources.
Works for:
- Production Manager
- Quality Assurance Manager
- Maintenance Manager
- Process Engineer
Objective:
Cut waste by 10% in 7 days
- Opportunities found in last 24 hrs
- Long Changeovers
- Downtime Spike
- Defect Increase
- High Waste
- Missing Prod Data
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 Reduction
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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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Deliver AI Analyst
Deliver AI Analysts focus on Growth by optimizing distribution and fulfillment to consistently achieve 96%+ OTIF to customers.
Works for:
- Logistics Manager
- Warehouse Manager
- Industrial Automation Engineer
- Supply Chain Manager
Objective:
Achieve 96% OTIF this week
- Opportunities found in last 24 hrs
- Late Deliveries
- Pick/Pack Delays
- Route Issues
- Freight Surge
- Inaccurate Inventory Data
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
Slot Optimization with Demand Forecasting
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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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Performance AI Analyst
Performance AI Analysts track the Business Health Index (BHI) a composite score of revenue, cost, service, and resilience to maintain overall business balance.
Works for:
- Chief Supply Chain Officer
- Operations Director
- Finance Manager
- Strategy Manager
Objective:
Improve resilience index by 10% in 1 quarter
- Opportunities found in last 24 hrs
- Order Cancellations
- Freight Overruns
- Service Drops
- KPI Gaps
- Missing Perf Data
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
Performance Gap Detection & Resolution
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Business Health Optimization
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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
- Learn more
Generative KPIs
- Learn more
Data Catalog
- Learn more
AI-Powered Data Enrichment
- Learn more