x
    Material Costing
    Material Costing with Automated and Accurate Costing Models

    Bring material data and costing into a single, structured planning model.

    Unlock Your Demo
    What's Slowing Alco-Bev Finance & Supply Chain Leaders?

    Without integrated planning systems, material costing becomes a bottleneck-delaying budgets, weakening margins, and limiting strategic agility.

    Our Approach to Material Costing

    A unified planning platform that automates cost calculations from raw material to finished goods-giving finance and supply chain leaders real-time control over margins.

    Watch the video to see how intelligent material costing works Arrow
    Download Whitepaper
    Key Capabilities of an EPM-Driven Material Costing Solution
    Unified Product & Cost Model

    Manage BOMs, materials, packaging, freight, overheads, & plant assumptions in one connected costing model-ensuring consistency across SKUs, plants, & regions.

    Graphic Mask
    Centralized Pricing & Assumptions

    Standardize vendor prices, duties, taxes, inflation, FX, & wastage assumptions to maintain accurate & transparent costing inputs across teams.

    Graphic Mask
    Automated Cost Roll-Ups

    Instantly compute wet cost, packing cost, landed cost, and margin impact through automated calculations-eliminating spreadsheet dependency.

    Graphic Mask
    Scenario-Ready Cost Planning

    It models the suppliers, price, shipping, and BOM to analyze the effects of the change on costs and margins in real-time.

    Graphic Mask
    Governed Insights & Visibility

    Provide role-based reviews, approvals, and analysis capability with real-time dashboards regarding SKU and plant costs.

    Graphic Mask
    Advanced Features for Smarter Material Costing
    Role-Based Modeling & Collaboration
    Role-Based Modeling & Collaboration Built into the solution to support controlled collaboration.
    • Finance, procurement, supply chain, and plants work in one model
    • Role-based access defines who can view, edit, or approve
    • Changes remain tracked and auditable throughout the cycle
    ML-Driven Forecasting & Cost Projections
    ML-Driven Forecasting & Cost Projections Available to support forward-looking material cost planning.
    • Uses historical trends and patterns to project material costs
    • Forecasts costs across SKUs, plants, and regions
    • Reduces dependence on static, manual assumptions
    AI-Powered Insights & Cost Driver Visibility
    AI-Powered Insights & Cost Driver Visibility Embedded intelligence highlights what needs attention.
    • Surfaces key cost drivers across materials, freight, and suppliers
    • Flags unusual variances and emerging cost risks
    • Helps teams focus on high-impact areas
    Advanced Scenario Planning & What-If Analysis
    Advanced Scenario Planning & What-If Analysis Designed to evaluate cost impact before decisions are made.
    • Simulate supplier, price, FX, and freight changes
    • Compare outcomes across SKUs and brands
    • Understand margin impact across scenarios
    Outcomes Enabled by Modern Material Costing
    Data
    Better cost decisions, backed by data Unified material costs with clear visibility across teams and assumptions.
    Outcome
    Organizations see ~2-3% improvement in material cost accuracy, reducing rework in pricing, budgeting, & margin reviews.
    Process
    Faster costing without disrupting planning Cost updates and scenario checks occur within planning timelines instead of manual refresh cycles.
    Outcome
    Teams achieve 30-40% faster material cost cycles and respond quickly to changes in suppliers, freight, and commodities.
    People
    Stronger ownership and decision discipline Costing follows a defined process with clear inputs, reviews, and approvals across teams.
    Outcome
    Reduced dependency on manual coordination and more consistent, leadership-ready decisions.
    Customer Success Stories
    Streamlining Complex Material Costing Across Markets with Automated BOM Intelligence
    Streamlining Complex Material Costing Across Markets with Automated BOM Intelligence
    • 95%

      Increase in material costing accuracy

    • $7.2M

      In margin retained through precise cost visibility

    • 33%

      Faster pricing response time across markets

    View Case Study Arrow
    Streamlining Cost Planning and Forecasting by Breaking Dependency on Excel
    Streamlining Cost Planning and Forecasting by Breaking Dependency on Excel
    • 75%

      Reduction in manual costing errors

    • 2.3%

      Decrease in cost leakage

    • 50%

      Shorter costing cycle

    View Case Study Arrow
    Developing Real-Time Landed Costs for Faster and More Informed Decisions
    Developing Real-Time Landed Costs for Faster and More Informed Decisions
    • 90%

      Improvement in forecasting accuracy

    • 50%

      Drop in landed cost variance

    • 2%

      Reduction in margin leakage

    View Case Study Arrow
    Frequently Asked Questions about Power BI Implementation
    Supply Chain Finance consolidates BOMs and calculates costs. Procurement inputs vendor prices and share-of-business for bottles, labels, and ingredients. Logistics updates freight rates. Plant Controllers allocate overheads across production. Demand Planning provides volume forecasts. Finance Leadership reviews scenarios and approves budgets-all in one platform with role-based access.
    Yes. It handles multi-level BOMs with wet ingredients (alcohol, flavorings, water) and packaging materials (bottles, labels, caps, cartons). Vendor share-of-business logic calculates blended costs automatically. Plant-specific configurations handle different wastage rates and overheads. Reusable component blocks simplify new product launches.
    Vendor price changes flow automatically into all SKU costs-no manual updates or broken formulas. Freight rate updates recalculate landed costs instantly. Version control and audit trails eliminate email chains and conflicts. Costing cycles become significantly faster with fewer errors.
    Yes. Model commodity shocks for grain or hops, simulate vendor sourcing switches, test freight volatility or modal shifts, apply FX changes to imports, and adjust vendor share percentages. Run scenarios in parallel, compare alternatives side-by-side, and share results with leadership instantly.
    Real-time dashboards show which brands face margin pressure and why-vendor prices, freight, or overheads. Leadership validates assumptions before sign-off and uses dynamic sliders to model pricing or cost scenarios during meetings. AI insights highlight savings opportunities. Decision cycles become significantly faster.
    Talk to our Experts