Make to Stock (MTS) is a production and inventory strategy in which a manufacturer produces goods in advance of customer orders based on forecasts of future demand. The aim is to have finished products available on shelves or in warehouses so customer orders can be filled immediately, improving service levels and supporting high-volume, repetitive sales.
Key takeaways
– MTS matches production to forecasted demand instead of to specific orders.
– It works best for standardized, high-volume products with reasonably predictable demand and short fulfillment expectations.
– The approach depends heavily on accurate demand forecasting and effective inventory management.
– Alternatives include Make to Order (MTO) and Assemble to Order (ATO), which tie production more closely to actual orders and thus reduce certain inventory risks. (Sources: Investopedia; Siemens)
How Make to Stock (MTS) Works
1. Forecasting: The company produces demand forecasts (monthly, weekly, or product-specific) based on historical sales, seasonality, promotions, and market intelligence.
2. Production planning: Planners translate forecasts into production schedules and capacity plans, determining batch sizes and timing.
3. Inventory positioning: Finished goods are stored in factories or distribution centers (the decoupling point) to enable fast fulfillment.
4. Replenishment: Inventory policies (reorder points, safety stock, EOQ) trigger production or replenishment to maintain target stock levels.
5. Sales and fulfillment: Retailers, distributors, or direct customers draw from the available inventory; sales are fulfilled rapidly because stock exists in advance.
Important considerations
– Forecast quality: Small forecasting errors can lead to excess stock (tying up capital, risk of obsolescence) or stockouts (lost sales).
– Product lifecycle: MTS is riskier for products with short lifecycles or fast technological change (e.g., consumer electronics).
– Seasonality and cycles: MTS is commonly used to build inventory in lower-demand months ahead of peak selling seasons (e.g., Q2–Q3 production for Q4 retail sales). (Example: toy manufacturers producing ahead of holiday demand.) (Sources: Investopedia; Target Q4 report)
– Cross-functional coordination: Sales & Operations Planning (S&OP) and collaboration between sales, marketing, supply chain, and finance are essential to align forecasts and production.
Alternatives to Make to Stock (and when they’re preferable)
– Make to Order (MTO): Production begins only after a customer order is received. Best for customized, low-volume items or when holding inventory is costly.
– Assemble to Order (ATO): Components are produced or stocked in advance, and final assembly occurs only after orders arrive. A hybrid approach that reduces lead times while lowering finished-goods inventory risk.
– Engineer to Order (ETO): Design and production begin after order receipt—used for one-off, highly customized projects.
These alternatives reduce inventory risk but can lengthen lead times or require more flexible manufacturing/process capability. (Source: Investopedia)
Example of Make to Stock (practical illustration)
– Retail seasonality example: Large retailers generate most sales in the fourth quarter. Suppliers will increase production in the second and third quarters to build inventory that supports Q4 retail demand. For instance, a toy manufacturer might estimate a 40% sales increase in Q4 vs. Q3 based on historical data and ramp production by that amount ahead of the season. If the manufacturer uses MTO, it would wait for retailer orders; if using ATO, it might pre-produce components but complete kits only after orders arrive. (Source: Investopedia; Target Q4 report)
Benefits of Make to Stock
– Short customer lead times: Finished goods are immediately available for fulfillment.
– Economies of scale: Enables large, continuous production runs that reduce unit costs.
– Stable factory utilization: Production can be scheduled to smooth capacity usage across the year.
– Better service for fast-moving, standardized products: Supports retail and distribution models that expect immediate availability.
Drawbacks of Make to Stock
– Forecast risk: Inaccurate forecasts create excess inventory, stockouts, and lost revenue.
– Capital tied up: Inventory requires working capital and increases storage/handling costs.
– Obsolescence risk: Products with short lifecycles (technology, fashion, some toys) can become obsolete quickly.
– Operational inflexibility: Frequent production schedule redesigns to match changing forecasts can add cost and complexity.
Practical steps to implement (or improve) an MTS strategy
1. Segment your product portfolio
• Classify SKUs by demand variability, margin, lifecycle, and lead time (e.g., A/B/C analysis).
• Apply MTS mainly to stable, high-volume SKUs. Use MTO/ATO for volatile or customized SKUs.
2. Improve demand forecasting
• Use a mix of statistical forecasting (time-series, causal models) and judgmental inputs (sales, marketing, promotions).
• Incorporate seasonality, promotions, and external signals (market trends, macro indicators).
• Implement demand-sensing techniques for short-term adjustments.
3. Set inventory policies per SKU
• Define safety stock, reorder points, and target service levels based on demand variability and lead time.
• Use EOQ or lot-sizing logic for production batch decisions where appropriate.
4. Establish Sales & Operations Planning (S&OP)
• Conduct regular cross-functional S&OP meetings to align demand forecasts, capacity, and finances.
• Review and approve the production plan at a cadence that matches business cycles (monthly, weekly).
5. Use systems and data
• Deploy an ERP/MRP system to automate planning, scheduling, and replenishment triggers.
• Track key metrics: forecast accuracy (MAPE), fill rate, days inventory outstanding (DIO), inventory turns, stockout frequency.
6. Manage lead times and production flexibility
• Reduce supplier and production lead times where feasible to lower required safety stock.
• Build flexible capacity (e.g., overtime, contingency suppliers) to handle forecast misses.
7. Coordinate with downstream partners
• Share forecasts and collaborate with major customers (vendor-managed inventory, collaborative planning) to reduce bullwhip effects.
• Align promotions and replenishment plans with retailers to avoid surprises.
8. Mitigate obsolescence and excess inventory
• Plan end-of-life and markdown strategies early.
• Use promotions, bundle offers, or secondary markets to clear slow-moving stock.
9. Monitor, learn, and refine
• Regularly analyze forecast errors and root causes.
• Update models and policies based on historical performance and changing demand patterns.
When to use MTS (summary guidance)
– Use MTS for high-volume, standardized products with stable and predictable demand and when customers expect fast delivery.
– Consider ATO or MTO for products with high variability, customization needs, or rapid obsolescence.
The bottom line
Make to Stock is a core manufacturing strategy that supports immediate product availability and cost-efficient production for predictable, high-volume SKUs. Its success depends on accurate forecasting, disciplined inventory management, and close coordination across sales, operations, and supply chain. Where demand unpredictability, customization, or rapid obsolescence dominate, hybrids or order-driven alternatives (ATO, MTO) can reduce risk while preserving responsiveness.
Sources and further reading
– Investopedia. “Make to Stock (MTS).”
– Siemens. “Make-to-Stock (MTS).”
– Target Corporation. “Target Corporation Reports Fourth Quarter and Full-Year 2021 Earnings.”
(Continuing from “The Bottom Line”)
Expanded guidance, practical steps, additional examples, and a short concluding summary follow to help practitioners decide whether to use make to stock (MTS) and how to implement it well.
When MTS is the right choice
– Products with predictable demand. Stable, mature products with historical sales patterns (e.g., basic household goods, some toys, pantry items).
– High-volume, low-variation SKUs. Items produced at scale where unit economics favor continuous or batch production.
– Short lead times are not required for customization. Customers accept off-the-shelf items rather than bespoke products.
– Seasonal or cyclic demand that can be anticipated. Retail and CPG suppliers preparing for holiday seasons or annual cycles often use MTS (Investopedia).
– When production changeover costs are high. Producing in large batches reduces per-unit cost.
Practical step-by-step implementation of MTS
1. Define the product scope
• Select which SKUs are appropriate for MTS (stable demand, low customization).
• Use ABC/XYZ classification: prioritize A (high value/volume) and X (predictable) items for investment in forecasting.
2. Establish a forecasting process
• Choose forecasting methods (see below).
• Set forecast horizons (short, medium, long—e.g., monthly for tactical, weekly for operational).
• Assign owners and set review cadences (weekly planning, monthly S&OP).
3. Set policy parameters
• Target service levels (e.g., 95% fill rate).
• Safety stock rules and reorder points.
• Order quantities (EOQ or lot-sizing rules) and production batch sizes.
4. Build inventory buffers and capacity plans
• Plan production and procurement around forecasted demand plus safety stock.
• Coordinate with suppliers and manufacturing to match lead times and capacity.
5. Implement supporting technology and governance
• Use demand-planning tools, ERP, advanced planning and scheduling (APS), and S&OP processes to align sales, operations, and finance.
6. Monitor, measure, and refine
• Track KPIs (forecast error, stockouts, turns) and adjust forecasts, safety stock, and production plans regularly.
7. Incorporate risk mitigation mechanisms
• Stock rationalization, promotions, postponement, ATO hybrids, and contingency production runs (details below).
Forecasting methods and best practices
– Naïve / baseline methods: last-period demand or average demand. Useful as benchmarks.
– Time-series methods: moving averages, exponential smoothing (Simple, Holt-Winters) — good for stable, seasonal series.
– Causal models / regression: incorporate drivers (pricing, marketing spend, macro indicators).
– Machine learning: demand-sensing and patterns across many SKUs, useful when data volume and variability justify complexity.
– Best practices:
• Use hierarchical forecasting: SKU/store/region aggregated and then disaggregated.
• Combine methods and use judgmental overrides for promotions, new products, or known events.
• Measure forecast accuracy with MAPE, RMSE, bias, and track forecast value added (FVA).
Inventory control techniques and simple formulas
– Safety stock (simplified): Safety stock = z × σdemand × sqrt(lead time)
• z = service-level z-score (e.g., 1.645 ≈ 95% service level), σdemand = demand standard deviation per period.
• Use this only as a starting point; incorporate lead-time variability and demand seasonality.
– Reorder point (ROP): ROP = average demand during lead time + safety stock.
– Economic Order Quantity (EOQ): balances ordering and holding costs to set lot sizes when applicable.
– SKU rationalization: reduce SKUs to focus forecasting and reduce complexity.
KPIs to track for an MTS program
– Forecast accuracy (MAPE, MAD) and forecast bias.
– Inventory turnover (COGS / average inventory).
– Days of inventory on hand (DIH).
– Fill rate / service level (percentage of demand met from stock).
– Stockout frequency and duration.
– Obsolescence rate and inventory write-offs.
– Carrying cost of inventory (as a percent of inventory value).
– On-time delivery (as it relates to production scheduling).
Technology, process, and organizational considerations
– ERP and demand-planning modules: centralize master data and automate replenishment signals.
– Advanced Planning & Scheduling (APS): optimize production runs and capacity constraints.
– Sales & Operations Planning (S&OP): cross-functional monthly process linking demand, supply, and finance.
– Demand sensing and big-data analytics: shorten the forecasting horizon and react to near-term demand shifts.
– Organizational alignment: clearly assign roles for forecast ownership, exception management, and inventory policy governance.
Risk mitigation strategies for common MTS pitfalls
– Safety stock and dynamic re-safety: adjust safety stock by SKU volatility and season.
– Postponement / Configure-to-Order: produce common components (MTS) but finish/customize (ATO) after order receipt to reduce finished-goods risk.
– Promotions and pricing levers: use price or marketing to reduce excess inventory proactively.
– SKU rationalization and product lifecycle management: phase out low-turn or obsolescent SKUs faster.
– Supplier flexibility and shorter lead times: diversify suppliers or negotiate faster lead times for corrective replenishment.
– Hybrid models: combine MTS for base demand and MTO/ATO for spikes or customized variants.
More real-world examples
– LEGO (illustrative example): uses historical seasonality to increase production ahead of holiday demand; may combine MTS for popular brick types and ATO for limited kits to reduce forecast risk (Investopedia).
– Retail apparel: many retailers (seasonal fashion) use MTS for staple items and adopt fast-react lines with smaller batches—or use ATO/postponement to respond to trends.
– Consumer packaged goods (CPG): staple categories (toothpaste, detergent) are often produced MTS to ensure shelf continuity and low unit cost; promotions are planned into forecasts.
– Electronics: consumer electronics often struggle with MTS because products quickly obsolesce; many companies shorten product cycles or shift toward MTO/ATO for configurable models.
– Suppliers to major retailers: companies manufacturing for big seasonal retail events (e.g., Target’s holiday sales) typically scale production in advance to satisfy the retailer’s Q4 demand (Target report context).
Alternatives and hybrid choices (brief recap)
– Make to Order (MTO): production begins only after a valid customer order — good for customized or low-volume SKUs.
– Assemble to Order (ATO): components made MTS, final assembly after order — compromises cost and responsiveness.
– Engineer to Order (ETO): design and production after order; used for bespoke, capital goods.
– Many firms use hybrids: MTS for predictable base demand + MTO/ATO for variants or late-stage customization.
Practical checklist before committing to MTS
– Do you have reliable historical demand data and stable seasonality?
– Can you absorb the working capital tied up in inventory if forecasts are wrong?
– Are production and procurement lead times predictable and manageable?
– Do you have the systems and processes (S&OP, ERP) needed to detect and respond to forecast errors?
– Have you planned mitigation steps for obsolescence and stockouts?
Concluding summary
Make to stock (MTS) is a time-tested approach to matching production to forecasted demand. When applied to the right products—high-volume, predictable SKUs with seasonal or cyclical demand—it reduces unit costs, improves availability, and supports retail and wholesale distribution cycles. The primary challenge is forecast accuracy: poor forecasts lead to excess inventory, obsolescence, stockouts, and impaired liquidity. Firms that implement MTS successfully combine strong forecasting methods, inventory controls (safety stock, reorder points), cross-functional processes (S&OP), enabling technologies (ERP, demand-planning, APS), and risk mitigation strategies (postponement, promotions, SKU rationalization). Where demand is volatile or products are highly customized, hybrid or demand-driven alternatives (MTO, ATO) are often preferable.
Sources and further reading
– Investopedia. “Make to Stock (MTS).”
– Siemens. “Make-to-Stock (MTS).”
– Target Corporation. “Target Corporation Reports Fourth Quarter and Full-Year 2021 Earnings.”
– Build a simple forecasting template (Excel) template and safety-stock calculator.
– Provide sample KPIs and dashboard layout for monitoring an MTS program.
– Walk through an MTS vs MTO decision checklist tailored to your product portfolio.