01
First-in, first-out thinking
Production follows order arrival, not business value. High-margin orders wait while lower-margin work runs. Margin per unit varies wildly but production sequence ignores it.
Production Planning
Decision IntelligencePrioritized Queue
Decide what to produce, and when.
Decision intelligence that ranks production orders by profitability and supply chain risk. Works with your ERP and demand planning systems. Deployed in your stack.
Production Priority Queue
Orders ranked by business value.
High-Margin Order A92%
Medium Margin B68%
Standard Order C44%
Ranked by margin, demand urgency, and supply chain risk. Your operations team starts with highest-value orders.
Ranked by business impact, not arrival date
The Problem
Production decisions follow the wrong priorities.
Without visibility into margin, demand, and supply chain risk, production sequencing defaults to first-come-first-served or inventory-based logic.
02
Invisible supply chain risk
You produce orders with uncertain material availability or supplier delays. Only after work starts does the supply-side bottleneck appear. Then you expedite or stop.
03
Demand planning is separate
Demand planning forecasts what customers want. Production planning sequences what to make. These two systems don't talk. Disconnect costs margin and delivery performance.
The Shift
From sequence to strategy.
Production planning becomes a business decision, not a logistics function.
Before
“What order runs next?”
Decisions based on arrival order, stock levels, or past patterns. High-margin and low-margin orders mix randomly. Supply chain surprises force stops and expedites.
After
“Which order maximizes value today?”
Ranked queue shows orders sorted by profitability, demand urgency, and supply chain feasibility. Your team produces high-value orders first. Supply risk surfaces up front.
Four Layers of Decision Intelligence
How we build it.
Production Planning Intelligence sits on a four-layer decision stack. Each layer builds on the previous one.
1. Descriptive
What is the current state?
Baseline view of demand, inventory, production status, and supplier status right now. What does the data show today?
Example output
50 open orders, 12 with material constraints, 8 with supplier delays pending.2. Conversational
Ask me anything.
Questions about your orders, inventory, demand, and supply chain. "Which orders are supply-constrained?" or "What is our highest-margin work this month?" Human-in-loop analysis.
Example output
6 orders have >20% margin. 2 face material constraints. 3 are strategically important to key customers.3. Predictive
What will happen?
Forecasts which orders will complete on time based on supply availability and production capacity. Clear view of feasibility risk.
Example output
8 orders at risk of missing target dates. Supply delays are the bottleneck for 5 of them.4. Recommendation
What should we do?
Ranked production queue. Each order shows margin, demand urgency, and supply risk. Your team always has the final approval.
Example output
Prioritized production queue. Highest-margin, lowest-risk orders at the top.How We Deliver
Integrated with your systems.
Production Planning Intelligence connects your ERP, demand planning, inventory, and supplier data. Deployed directly into your existing BI platform.
Step 1Discovery
Audit your ERP, demand planning, inventory, and supplier systems. Understand current order flow and decision logic.
Step 2Model Development
Build margin, demand, and supply risk models. Train on your historical order data. Validate feasibility forecasts.
Step 3Pilot Deployment
Deploy production queue into your BI platform (Power BI, Tableau, Looker, Qlik). Live pilot with operations team.
Step 4Scaling & Integration
Expand to all product lines and order types. Integrate with existing production workflows and work order systems.
Step 5Continuous Improvement
Model monitoring and retraining. Performance tracking. Proactive improvements as business conditions change.
Expected Outcomes
What your team will see.
Production planning shifts from reactive to strategic.
Improved margin per unit
Production prioritizes higher-margin work. Orders sequence by profitability, not arrival date.
Fewer supply surprises
Supply chain risk surfaces before production starts. Expedites and stops decrease.
Better on-time delivery
Realistic sequencing based on actual demand and supply constraints improves delivery performance.
Reduced expedite costs
Production happens in the right order. Last-minute expedites and premium freight diminish.
Clearer priorities
Operations team knows which work matters most. Decision logic is transparent and defensible.
Cross-functional alignment
Demand planning, production, and supply chain use the same queue. Less conflict, faster execution.
Program Fit
Is this right for you?
Good fit if...
- You have ERP or demand planning systems with accessible order data
- You manage diverse product lines with varying margin profiles
- Supply chain complexity and lead-time variability affect margins
- Production scheduling is manual or rule-based, not optimized
- You have a BI platform (Power BI, Tableau, Looker, Qlik, or similar)
Not a good fit if...
- You produce a single product or very limited product range
- Your production is already highly optimized and constrained by capacity
- You have no ERP or accessible production data
- You do not have a BI platform or analytics infrastructure
Frequently Asked
Production Planning Intelligence FAQs
Common questions about scope, data, timing, and how this works alongside your ERP.
01What is production planning intelligence?+
Production planning intelligence is a prioritized production queue. It analyzes demand forecasts, inventory positions, production lead times, and supplier status to rank which orders should run when, based on profitability and supply chain feasibility. This ranking guides your operations team on production priorities.
02What data do you need?+
Demand data (forecasts or historical orders), inventory positions (current stock and safety stock levels), production data (lead times, batch sizes, changeover costs by product), and supplier data (delivery times, capacity). Most manufacturers have this in ERP, demand planning systems, or supply chain platforms. If data is scattered, we help integrate it during discovery.
03How is this different from my ERP production module?+
Your ERP handles the mechanics of production scheduling and work order management. Production Planning Intelligence sits on top and adds the decision layer: it ranks what to produce and when by profitability and risk, not just due date or stock levels. It brings demand, inventory, supply chain, and financial data together in one ranked queue.
04How long does implementation take?+
Timeline depends on data complexity and your team's availability. Discovery typically takes 2-4 weeks. After that, we build and validate models iteratively. You will see a prioritized production queue within a few weeks of discovery. Exact timing becomes clear during our first conversation after we review your data landscape.
05What is the typical cost?+
Cost varies based on data complexity, number of product lines, and implementation scope. We typically quote after discovery, once we understand your data landscape and production portfolio. Most manufacturers find the investment recovers through improved margins and reduced expedite costs within the first year. Let us discuss your specific situation.
06Can this work across multiple production sites?+
Yes. The same framework scales across locations. Each site gets its own production queue ranked by local profitability and local supply chain constraints. Network-wide views help identify bottlenecks and optimize order allocation across sites.
Get Started
Ready to optimize production decisions?
Let us talk about your production challenges, show how production planning intelligence can help, and explore whether this is the right next step for your operation.
Mid-market manufacturersERP-integratedDeployed in your BI stack