Each agent is purpose-built for a distinct supply chain decision layer — deployable as standalone modules or as an integrated suite running inside your existing SAP environment.
Cognto AI embeds autonomous AI agents directly into your SAP landscape — transforming static planning cycles into a continuously self-optimizing supply network.
Cognto AI addresses the full breadth of supply chain planning challenges — from demand sensing to supplier risk, transportation to sustainability — all running inside SAP.
Purpose-built for every supply chain decision layer — deployable standalone or as an integrated suite inside your SAP environment.
Generates statistically robust, SKU-level demand forecasts using real-time market signals, historical SAP data, and ML — updated continuously.
SAP IBP's Demand Planning Agent combines historical transaction data from SAP APO and IBP with real-time market signals to generate SKU-location-level forecasts with confidence intervals — not single-point guesses.
Rather than running on a monthly batch cycle, the agent continuously updates forecasts as new POS data, market events, or supplier changes occur — giving planners a living forecast.
SAP Joule provides natural-language explanations: "Demand for SKU-4821 is projected up 18% in Q3 due to seasonal lift and a new distribution channel. Confidence: high."
📥 Reads from: SAP IBP Harmonized Planning Area, S/4HANA sales orders, MM goods movements, APO Livecache
📤 Writes to: IBP Demand Key Figures, S&OP consensus demand, supply planning inputs
🔌 Connectors: SAP Integration Suite, OData APIs, BTP Data Pipelines
Balances confirmed demand, supplier lead times, and capacity constraints to build feasible supply plans — continuously updated.
The Supply Planning Agent takes confirmed demand and translates it into feasible, capacity-constrained supply plans across multi-tier supplier networks — running inside SAP IBP SNP.
SAP's 2026 Joule Agents for Supply Planning automate prerequisite checks for production order release — validating material availability, capacity, and scheduling before committing, dramatically shortening order-to-delivery cycles.
The agent continuously rebalances supply plans as demand signals shift, supplier lead times change, or capacity constraints emerge.
🤖 Production Planning Agent: Autonomous production order release with prerequisite validation
🤖 Change Record Agent: Reasons over engineering change requests, recommends actions
🤖 Supplier Onboarding Agent: End-to-end automated supplier qualification on SAP Business Network
Optimizes safety stock, reorder points, and inventory positioning across multi-echelon networks — dynamically adjusting targets as conditions change.
The Inventory Planning Agent uses SAP IBP's Global Multi-Stage Inventory Optimization to calculate optimal safety stock levels at every location-product combination — accounting for demand variability, lead time uncertainty, and service level targets simultaneously.
AI-assisted analysis highlights the drivers behind every recommendation — "safety stock for SKU-4821 at DC-Chicago increased 12% due to supplier lead time variability rising from 3 to 5 days."
Minimum and maximum safety stock constraints prevent both stockouts and excess accumulation — the agent dynamically adjusts within these bounds as conditions evolve.
📥 Reads: MM safety stock fields, EWM stock positions, IBP demand variability, vendor lead time data
🧮 Optimizes: Multi-stage IO model with min/max constraints and service level targets
📤 Writes: Updated safety stock to MM material master, EWM replenishment triggers, IBP supply plan inputs
Monitors supply chain signals in real time and autonomously runs scenario simulations — surfacing ranked recommendations before disruptions cascade.
Real-time supply chain monitoring and autonomous scenario management
Builds a full-fidelity digital twin of your supply network and runs thousands of Monte Carlo simulations — testing strategies before you commit a single dollar.
Quantified ROI from deploying Cognto AI agents — benchmarked against SAP IBP customer outcomes, ESG Research, and independent analyst studies.
| Metric | Before Cognto AI | After Cognto AI | Improvement | Unit |
|---|---|---|---|---|
| Forecast Accuracy (MAPE) | 25–35% error | 15–20% error | 30–35% better | % accuracy |
| Inventory Days on Hand | 45–60 days | 32–45 days | 20–25% reduction | Days |
| On-Time In-Full (OTIF) | 88–92% | 94–98% | +5–8 pts | % |
| Planning Cycle Time | 5–10 days | 1–2 days | 70–80% faster | Days |
| Expedite Freight Spend | Baseline | –20–30% | $2–8M annual savings | USD |
| Planner Productivity | 1x | 1.5–2x | +40–60% capacity | Multiplier |
Cognto AI runs natively on SAP BTP — connected to your existing SAP landscape. No separate data warehouse. No integration tax.