(AI for Production Planning)
The AI layer of production planning
AI Infinity builds and operates the AI layer of production planning and control (PCP) for industrial companies. A dedicated squad maps your processes, connects to the ERP and MES you already run, and deploys specialist agents for demand forecasting, order sequencing, predictive maintenance and bottleneck detection, with no ERP replacement.
Weeks → minutes
decision cycle for capacity scenarios
Scenario simulation with digital twins
Monthly → weekly
S&OP cycle when PCP and S&OP are connected
PCP × S&OP integration
(01) What production planning teams tell us
Sound familiar?
Every machine breakdown or late supplier means replanning by hand.
Our demand forecast always lags behind what the market is doing.
The same stoppages keep coming back and nobody can explain why.
Every machine breakdown or late supplier means replanning by hand.
Our demand forecast always lags behind what the market is doing.
The same stoppages keep coming back and nobody can explain why.
Every machine breakdown or late supplier means replanning by hand.
Our demand forecast always lags behind what the market is doing.
The same stoppages keep coming back and nobody can explain why.
We find bottlenecks after they have already cost us output.
Planning cycles take days, so the plan is outdated when it reaches the floor.
Operations and S&OP work from different numbers.
We find bottlenecks after they have already cost us output.
Planning cycles take days, so the plan is outdated when it reaches the floor.
Operations and S&OP work from different numbers.
We find bottlenecks after they have already cost us output.
Planning cycles take days, so the plan is outdated when it reaches the floor.
Operations and S&OP work from different numbers.
(02) In short
Key
takeaways
- 01
AI Infinity deploys specialist PCP agents on top of the ERP and MES you already use. Replacing the ERP is not required.
- 02
Demand forecasts feed both aggregate planning and shop-floor sequencing, so the plan reacts to change without waiting for the next cycle.
- 03
Scenario simulation with digital twins shortens capacity decisions from weeks to minutes.
- 04
Connecting production planning to S&OP moves the S&OP cycle from monthly to weekly.
(03)What the department runs
AI agents for
production planning
Each capability is built on your data, integrated with your systems and operated by a dedicated AI Infinity squad.
- 01
Machine-learning demand forecasting
Models combine sales history, seasonality, commercial events, macroeconomic indicators and IoT data. The same forecast feeds aggregate planning and operational sequencing.
- 02
Dynamic order sequencing
Scheduling agents trained with reinforcement learning re-sequence production orders when a machine stops, a supplier slips or a commercial priority changes, without waiting for the next planning cycle.
- 03
Predictive maintenance and OEE
Sensor data and models estimate the remaining useful life of critical components and flag failures early. The squad tracks availability, performance and quality, and keeps refining the models.
- 04
Real-time bottleneck detection
Agents watch shop-floor data streams for slowing speeds, quality loss or station congestion and trigger corrective actions before the problem escalates.
- 05
Scenario simulation and capacity
Digital twins of the production process test resource allocation, alternative sequences and the impact of new products, cutting capacity decisions from weeks to minutes.
- 06
PCP and S&OP integration
Agents translate commercial scenarios into operational plans and back, which removes manual rework and shortens the S&OP cycle from monthly to weekly.
(04) Client result
A stoppage pattern hidden for years
A specialist PCP agent analyzed the operating history of a Brazilian manufacturer and found a recurring stoppage pattern the internal team had not detected for years. The recommendation was applied and validated across two successive operations. The agent stays connected to the MES and replans automatically whenever the pattern returns.
Read the full case- decision cycle for capacity scenarios
Weeks → minutes
decision cycle for capacity scenarios
- S&OP cycle when PCP and S&OP are connected
Monthly → weekly
S&OP cycle when PCP and S&OP are connected
(05)Integrations
Runs on the systems
you already have
AI Infinity builds the AI layer on top of your current stack. No system replacement, no new platform for your team to learn.
All integrations
SAP S/4HANA
TOTVS
Sankhya
Senior
Oracle NetSuite
Microsoft Dynamics 365
(06) Rollout
How it
goes live
Four phases. The first agents run in parallel with your team until their accuracy is proven.
- 01
Mapping
We diagnose planning workflows, systems and recurring bottlenecks, and rank PCP use cases by impact and technical feasibility.
- 02
First agents
Specialist agents go live on critical, low-risk tasks such as forecasting or stoppage analysis, running in parallel with your planners until accuracy is proven.
- 03
Expansion
Sequencing, maintenance and S&OP agents join in planned waves, and planning connects end to end with commercial and supply teams.
- 04
Optimization
Models are refined with accumulated plant data, and the squad keeps evolving the PCP layer with ongoing technical support.
(07) FAQ
AI for Production Planning: common questions
01What does AI actually do in production planning and control?
In PCP, AI Infinity runs agents on five fronts: demand forecasting, dynamic order sequencing, predictive maintenance with OEE tracking, real-time bottleneck detection and capacity simulation with digital twins. Forecasts feed both aggregate planning and shop-floor sequencing, so a single view of demand drives the whole plan.
02Do we need to replace our ERP to use AI in production planning?
No. The AI layer sits on top of the systems you already run, through integration. AI Infinity works with ERPs such as SAP S/4HANA, TOTVS, Sankhya, Senior, Oracle and Microsoft Dynamics 365, and with the MES and sensor data already available on the shop floor.
03How is dynamic sequencing different from manual replanning?
Manual replanning is a slow loop: someone notices a change, rebuilds the plan and redistributes it. Dynamic sequencing agents reorder production automatically when a machine stops, a supplier is late or a priority changes, and planners review the new sequence instead of building it from scratch.
04How is AI deployed in a plant without disrupting operations?
In four steps: mapping, first agents, expansion and optimization. The first agents work on critical but low-risk tasks and run in parallel with your planners until their accuracy is validated. Only then do they move into production, and new areas join in planned waves.
05Who owns the models and data built for our plant?
Your company does. AI Infinity builds and operates the models, but the intellectual property, the data and the installed capability stay with the client. Environments, data and models are isolated per client and per scope, and every agent action is recorded in an audit trail.
Connected areas
- AI for S&OPA shared demand signal, real-time visibility and scenario simulation for a weekly S&OP cycle.
- AI for Import & ExportPredictive freight tracking, customs document checks and logistics that adapt to disruption.
- AI for FinanceContinuous reconciliation, predictive cash flow and a 3–5 day close on the ERP you already run.
Put AI to work
in production planning
Book a strategy session. We review your current architecture, map the bottlenecks and outline where AI pays off first. The session is free and carries no commitment.