ABC Analysis for Manufacturers: Classify Raw Materials and Finished Goods Separately

July 13, 2026
9 min read
By Nstock Team
ABC Analysis for Manufacturers: Classify Raw Materials and Finished Goods Separately
KM

Kyle Moloney

Procurement & Operations | 10+ Years

Kyle has spent over a decade managing procurement and operations for manufacturing companies ranging from small food producers to mid-size contract manufacturers. He now writes about practical inventory management, supply chain, and production operations.

ABC analysis ranks inventory items by annual dollar value and splits them into three classes: A items (the top roughly 70-80% of value, usually 10-20% of SKUs), B items (the next 15-25%), and C items (the long tail of low-value SKUs). The point is focus — you manage a $46,000-a-year material differently than a $600-a-year one.

Most guides stop there, and most software runs one blended ABC ranking across everything you stock. For a manufacturer, that's a mistake. Raw materials and finished goods answer different questions, get ranked on different value bases, and drive different decisions — so they deserve two separate ABC runs. Here's why, with a worked 10-SKU example showing how the split changes what you actually do.

Why One Blended ABC List Fails Manufacturers

A distributor stocks one kind of thing: sellable product. A manufacturer stocks two fundamentally different kinds: materials it consumes and products it sells. Blend them into one ranking and two problems appear:

  • The value bases don't match. Raw materials are naturally ranked by annual usage value (unit cost × annual quantity consumed). Finished goods are naturally ranked by annual sales value at cost. A finished good carries its whole bill of materials in its unit cost, so finished goods systematically outrank the very materials they're made of — your top raw material can land in class B or C of a blended list even though a two-week stockout of it would halt every A-class product you sell.
  • The decisions don't match. An "A" raw material means: negotiate supply terms, watch the reorder point, count it often. An "A" finished good means: never let it go out of stock, give it the best forecasting attention, prioritize its production slots. One ranking can't drive both playbooks.

ABC for Raw Materials: Rank by Annual Usage Value

For each material: annual usage value = unit cost × annual quantity consumed. Sort descending, compute each item's share of total, and cut classes at roughly 80% (A) and 95% (B) cumulative value. This ranking drives purchasing cadence (how hard you manage suppliers and reorder points) and cycle-count frequency (A weekly, B monthly, C quarterly is the standard cadence — see how to set up cycle counting).

ABC for Finished Goods: Rank by Annual Sales Value at Cost

For each product: annual value = unit cost (full BOM cost) × annual units sold. The same sort-and-cut mechanics apply, but this ranking drives fulfillment priority (which products must never stock out), forecasting attention (A products deserve real demand planning — this is where AI forecasting earns its keep), and production scheduling when capacity is tight.

Worked Example: 10 SKUs, Two Separate Rankings

A small candle manufacturer stocks five raw materials and sells five finished products. Run the two rankings separately.

Raw materials, ranked by annual usage value (unit cost × annual quantity consumed; total $99,300):

  • Soy wax — $2.10/lb × 22,000 lb = $46,200, which is 46.5% of raw material value (cumulative 46.5%) → Class A
  • Glass jars — $0.85/ea × 30,000 = $25,500, 25.7% (cumulative 72.2%) → Class A
  • Fragrance oil — $18.00/lb × 1,400 lb = $25,200, 25.4% (cumulative 97.6%) → Class B
  • Wicks — $0.06/ea × 30,000 = $1,800, 1.8% (cumulative 99.4%) → Class C
  • Warning labels — $0.02/ea × 30,000 = $600, 0.6% (cumulative 100%) → Class C

Finished goods, ranked by annual sales value at cost (unit cost × annual units sold; total $141,760):

  • 8 oz Lavender candle — $4.60/unit × 12,000 units = $55,200, 38.9% of finished goods value (cumulative 38.9%) → Class A
  • 8 oz Vanilla candle — $4.60/unit × 9,500 units = $43,700, 30.8% (cumulative 69.8%) → Class A
  • 3-wick Cedar candle — $9.80/unit × 2,200 units = $21,560, 15.2% (cumulative 85.0%) → Class B
  • Seasonal Pumpkin candle — $4.90/unit × 3,000 units = $14,700, 10.4% (cumulative 95.3%) → Class B
  • Sample tin — $1.10/unit × 6,000 units = $6,600, 4.7% (cumulative 100%) → Class C

Now notice what a blended ranking would have done: the Lavender and Vanilla candles ($55,200 and $43,700) would sit at the top, and soy wax — the single material every one of those candles depends on — would rank third. Wicks, at $1,800 a year, look like noise in any ranking; but a wick stockout stops production of $141,760 worth of finished goods just as thoroughly as a wax stockout does. Separate rankings keep the materials list honest, and criticality overrides (below) handle the wick problem.

How the Split Changes Decisions

  • Cycle counting runs off the raw materials list: wax and jars get counted weekly, fragrance oil monthly, wicks and labels quarterly. If you'd used the blended list, wax would count as a mid-tier item and drift for weeks between counts. Nstock's cycle counting schedules counts from ABC tiers automatically.
  • Purchasing cadence runs off the raw materials list too: soy wax and glass jars justify negotiated contracts, backup suppliers, and tight reorder points; labels get ordered twice a year and nobody loses sleep.
  • Forecasting and fulfillment run off the finished goods list: Lavender and Vanilla get real demand planning and safety stock; the Cedar 3-wick gets a monthly review; sample tins get made in slack capacity.
  • Turnover expectations differ by list. A-class finished goods should turn fast — if they don't, that's a forecasting problem. C-class raw materials turning slowly is normal and fine. Measuring them with one blended turnover number hides both signals; Nstock's free inventory turnover calculator computes turnover separately for raw materials, WIP, and finished goods for exactly this reason.

One override to apply after the math: promote any material that is single-sourced, long-lead-time, or production-stopping (like those wicks) at least one class regardless of its dollar rank. ABC is a dollar lens, not a criticality lens — use it to allocate attention, then let judgment adjust the edges. (Definitions for ABC analysis and related terms are in the glossary.)

Frequently Asked Questions

Should raw materials and finished goods use the same ABC value basis?

No. Raw materials should be ranked by annual usage value — unit cost times annual quantity consumed — because the question is where your purchasing dollars concentrate. Finished goods should be ranked by annual sales value at cost — unit cost times annual units sold — because the question is which products carry your revenue. Blending the two bases into one list makes finished goods systematically outrank the materials they're built from.

How often should a manufacturer re-run ABC analysis?

Quarterly is the standard cadence, matching the reorder-point review cycle. Re-run it off-cycle when the mix shifts — a new product launch, a discontinued line, or a major material price change can move items across class boundaries in a single quarter. Systems that calculate ABC tiers from live usage data, as Nstock does, remove the manual re-ranking step entirely.

What percentage cutoffs define A, B, and C classes?

The common convention is A = the items making up the first ~80% of cumulative annual value, B = the next ~15% (to 95% cumulative), and C = the final ~5%. In practice A ends up being roughly 10-20% of SKUs. The cutoffs are guidelines, not laws — round to natural breaks in your own data rather than splitting hairs over whether an item is at 79% or 81%.

Can an item be class A in one ranking and class C in another?

Yes, and that's the point of running them separately. A cheap component consumed in every product can be class C by raw material dollar value while being production-critical, and a high-cost finished good can be class A by sales value while its ingredients scatter across all three material classes. Each ranking answers its own question — purchasing and counting attention for materials, fulfillment and forecasting attention for finished goods — and criticality overrides handle the exceptions the dollar math misses.

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