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For manufacturers working with variable raw materials, the challenge is deciding what to source, from whom, when and in what quantities; how eligible materials should be combined; and how those choices affect cost and future supply across products and sites.
SAP and other ERP platforms already support essential purchasing, inventory, quality, formulation and planning activities. ICRON complements these capabilities by evaluating sourcing, blend composition and material allocation together across products, sites and planning periods.
ICRON connects modeled material characteristics, sourcing options, prices, demand, inventory, transportation and production constraints to optimize procurement and blend composition across the supply chain.
Powered by the ICRON AI-Native Decision Execution Hub, the solution combines optimization and governed AI agents to evaluate scenarios, coordinate decision workflows and support authorized planning actions.
- The challenge: Material variability, shifting prices, shared supplies and multiple product specifications create interconnected procurement and blending decisions.
- The approach: Bring together material planning attributes, finished-product quality targets, supplier terms, demand, available inventory and operational constraints from the systems where they are maintained.
- The optimization: Optimize eligible material combinations, sourcing choices and allocations across products and planning periods while respecting modeled quality and availability constraints.
- The role of AI: Use governed AI agents to investigate requests, modify scenarios, initiate optimization and support permitted actions, while optimization evaluates modeled constraints and trade-offs.
- The ICRON advantage: Connect procurement, blending, inventory allocation, and decision execution rather than optimizing individual recipes in isolation.
Building on Existing SAP and ERP Processes
SAP software and other ERP platforms support important inventory, purchasing, recipe and quality processes. Depending on the products and configuration in use, SAP solutions may also support formulation and planning optimization. ICRON is designed to complement these capabilities with specialized, connected procurement and blending optimization.
In food ingredients, material options can differ by supplier, grade, origin, modeled quality profile, price and availability. Choosing a blend therefore involves meeting product targets while considering how the selected materials affect other products, sites and future supply.
ICRON can evaluate blend choices alongside sourcing and material allocation across products and planning periods, using agreed material characteristics and planning inputs made available from the systems used by the manufacturer.
What Data Supports Procurement and Blending Optimization?
Effective optimization depends on consistent planning information about eligible material options, modeled characteristics, product targets, demand, supply, costs and the conditions under which materials can be used. The required detail depends on the planning model.
| Data category | Typical inputs | Purpose |
|---|---|---|
| Inventory | Material or material-option ID, quantity, location, inventory status and expected availability | Identify usable materials |
| Material planning attributes | Bitterness, aroma profile, body, acidity, grade, composition or concentration, as relevant | Represent ingredient characteristics used to evaluate blends |
| Product specifications | Approved ingredients, quality limits, formulation rules | Define formulation eligibility and quality constraints |
| Procurement | Supplier options, current and future prices, lead times, purchase conditions and expected receipts | Evaluate sourcing alternatives |
| Production | Production-site eligibility, capacities, process limits and production requirements | Check operational feasibility |
| Business rules | Material reservations, substitutions, expiry, allocation priorities | Apply real-world constraints |
Conceptual data-to-decision flow. Integration details vary by implementation.
SAP and other ERP environments commonly maintain material masters, purchasing records and inventory data. Product specifications and material characteristics may be kept there or in formulation systems, supplier documents, laboratory applications or other established sources. Each manufacturer’s existing processes and data ownership determine which inputs are made available for planning.
The specific interfaces and data flows depend on each organization’s systems and implementation architecture.
Once the necessary information is made available and validated, optimization can evaluate which materials should be used, in what quantities, and under which conditions.
How Optimization Connects Blend Choices with Procurement Decisions
Optimization evaluates ingredient combinations against three considerations:
Meet defined product targets using relevant planning characteristics such as bitterness, aroma, body or composition.
Respect eligible material options, available and expected quantities, process limits and site-specific restrictions.
Evaluate supplier prices, transport and inventory costs, scarce material allocation, demand and service objectives across products and periods.
Practical Example: Optimizing a 500 kg Water-Based Binder Blend
Consider a hypothetical chemical manufacturer preparing a 500 kg water-based polymer-binder blend for a coating application. The finished blend must contain between 49% and 52% non-volatile matter (solids) by mass. This is a simplified illustration of blending optimization, not a real customer formula.
Four eligible material options are considered. For the purpose of this example, they are assumed to be compatible for the intended formulation. Their planning-level solids contents, available quantities and unit costs are illustrative.
Available materials
| Material option | Planning availability | Assumed solids content | Assumed cost/kg |
|---|---|---|---|
| A | 300 kg | 40% | $2.70 |
| B | 250 kg | 46% | $3.10 |
| C | 400 kg | 54% | $3.80 |
| D | 200 kg | 60% | $4.20 |
All quantities, properties and costs are hypothetical and are not based on ICRON customer data. Non-volatile matter is an established measurement for paints, varnishes and binder materials (see ISO 3251:2019).
Material A has the lowest unit cost but cannot on its own meet the target solids-content range. The manufacturer must find an eligible combination that satisfies the target while respecting available quantities.
A feasible formulation
| Material option | Quantity |
|---|---|
| A | 50 kg |
| B | 200 kg |
| C | 250 kg |
| D | 0 kg |
| Total | 500 kg |
The solids content calculated by a simplified mass balance is:
This formulation meets the stated solids-content range. Its total illustrative material cost is $1,705.
However, meeting the specification does not mean the formulation has the lowest material cost.
1.8% lower material cost in this simplified, illustrative example
A lower-cost alternative
Under this simplified cost-minimization model, optimization identifies the following minimum-cost combination:
| Material option | Optimized quantity |
|---|---|
| A | 100 kg |
| B | 250 kg |
| C | 0 kg |
| D | 150 kg |
| Total | 500 kg |
Same 500 kg total. C is replaced by D, and more of A and B is used.
This combination delivers 49.0% modeled solids content at a material cost of $1,675, approximately 1.8% less than the initial feasible blend.
This single-blend example illustrates how a model selects material options and proportions within quality and availability limits. It does not capture the wider purchasing and allocation choices across sites and planning periods.
For this example, solids content is treated as a mass fraction and the blend is calculated by mass balance, assuming no processing losses, compatible materials, divisible quantities and no other binding restrictions. Real coating formulations must also satisfy applicable viscosity, pH, film-performance, processing, safety and compatibility requirements; satisfying a solids-content target alone does not establish product suitability.
The larger opportunity emerges when materials serve multiple finished products and plants, suppliers offer different quantities and prices over time, and purchasing, transport, inventory and blend decisions are optimized together.
Where the planning layer sits in an SAP landscape, and how it integrates with ECC, S/4HANA and multi-instance ERP.
See the integrationWhy the Lowest-Cost Blend May Not Be the Best Supply Chain Decision
Suppose the optimized 500 kg blend consumes a material needed for another, higher-priority product, or the same ingredient can be sourced more economically for a different plant in a later period. A cheaper standalone blend may create higher total supply costs. ICRON evaluates sourcing, material allocation and blend composition together across products, plants and planning periods.
How AI and Optimization Work Together in ICRON
The ICRON AI-Native Decision Execution Hub connects quantitative optimization, AI-supported analysis and governed decision workflows. Each plays a distinct role:
For example, a planner or a configured workflow can request a change to demand, supplier availability or business priorities. An authorized agent can gather context, adjust scenario inputs, initiate or repeat optimization, retain results and coordinate permitted next steps. The model evaluates feasibility against its represented constraints; governance determines which actions can proceed and which require review or approval.
How ICRON Works Alongside SAP and Other ERP Environments
SAP software supports a wide range of inventory, procurement, quality, recipe and planning activities, and certain SAP products also offer optimization capabilities. ICRON is an independent solution and is not presented as a replacement for SAP functionality.
ICRON can support specialized optimization of material selection, blend proportions, supplier choices, purchase timing and quantities, transportation and inventory allocation across products, sites and planning periods. The specific decision scope and data exchange depend on the solution and implementation.
ICRON supports connected procurement and blending decisions alongside established SAP processes. Agreed planning inputs can be shared where the implementation provides for data exchange; coexistence does not require claiming a universal standard integration.
Industry Applications: Where Connected Procurement and Blending Optimization Creates Value
Flavor bases, seasoning mixes and specialty ingredient blends may involve material options with different grades, suppliers, sensory profiles and seasonal availability. ICRON helps evaluate sourcing, modeled ingredient characteristics and costs alongside future production requirements.
Primary focusOrigin, grade, harvest and sensory variation affect blend consistency. Connected sourcing, inventory and formulation planning helps producers compare alternatives while protecting quality.
Strong use caseLeaf grade, crop year, moisture and aging characteristics create allocation trade-offs. Optimization can evaluate approved blend specifications alongside inventory and future requirements.
Strong use caseConcentration, purity and processing requirements shape feasible combinations. The optimization model must incorporate relevant process and safety constraints.
Secondary focusProven Results: Lipton Teas and Infusions
ICRON’s work with Lipton Teas and Infusions demonstrates the value of connecting procurement and blending decisions across a complex supply network.
Lipton used ICRON to optimize sourcing, material allocation, and blending planning while managing raw material variability and quality requirements.
Reported customer outcomes
These results are specific to Lipton’s implementation and are not presented as typical or guaranteed outcomes.
The case demonstrates how coordinated procurement and blending optimization can create value beyond individual recipe adjustments.
Read the Lipton Customer Story
Frequently Asked Questions
Does SAP already support blending and formulation optimization?
Yes, in relevant SAP products. SAP Recipe Development documentation includes Formula Optimization for recipe ingredient quantities and selected cost or property targets; SAP also offers procurement, quality management and separate supply/production planning capabilities. Availability depends on the SAP products and configuration in use. ICRON complements these applications with connected procurement and blending optimization across products, sites and planning periods.
Can ICRON work with inventory data from SAP environments for blending optimization?
Where agreed planning data is available, ICRON can use SAP-origin inventory, procurement and material information alongside product targets, supplier terms and planning attributes maintained in other systems. Data sources and transfer mechanisms are implementation-specific; SAP need not be the source of every input.
How is blending optimization different from fixed recipe management?
Fixed recipes define standard ingredient proportions. Blending optimization can adjust the proportions of eligible material options within permitted formulation ranges and quality targets, taking account of material costs, availability and effects on other products and planning periods.
How do AI and optimization complement each other in blending?
Optimization evaluates modeled sourcing and blend alternatives against defined constraints. Governed AI agents can investigate changes, initiate optimization reruns and carry out authorized workflow actions. Applicable quality controls and required approvals remain in force.
Does least-cost blending compromise product quality?
A properly specified least-cost optimization model minimizes the defined cost objective while satisfying the quality and operational constraints included in the model. It does not justify relaxing mandatory specifications. Actual results depend on accurate data and a valid formulation model.
Which material characteristics are used to plan blends?
The model uses defined planning characteristics for eligible material options—such as bitterness, aroma profile, body, grade or composition—together with finished-product specifications and supply constraints. Their source and update frequency depend on the implementation; operational quality-control processes remain separate.
How does procurement planning improve blending optimization?
Procurement planning expands the decision from choosing a single blend to evaluating which materials to purchase, from which suppliers, in what quantities and periods, while coordinating inventory, transport, production sites and future demand. This helps evaluate blend decisions across the wider supply network.
Key Takeaways
- Modeled material characteristics matter: ingredient options must satisfy applicable product and process requirements.
- Optimize across orders: the cheapest single recipe may not be the best allocation of materials.
- Governed AI agents support action: models evaluate alternatives while agents can orchestrate scenarios, rerun optimization and perform permitted tasks.
- ICRON connects decisions: procurement, blending and inventory are assessed together.
- Work with existing ERP capabilities: ICRON can draw on available enterprise data to support connected procurement and blending optimization.
Better Blends Start with Better Decisions
Combining material planning attributes, product quality targets, demand, procurement and logistics inputs with optimization and governed AI workflows helps manufacturers coordinate blend compositions with sourcing and inventory decisions. ICRON brings these capabilities together in its AI-Native Decision Execution Hub while working alongside existing SAP and other enterprise environments.
Optimize Blending and Procurement with ICRON
Discover how ICRON helps manufacturers make better material sourcing, formulation, and inventory decisions across complex supply chains.
Related Resources
Explore related ICRON solutions, guides and customer stories.
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