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Know what each product actually costs you

Product costing allocates every cost — material, labour, power, overhead and scrap — to the products that caused it. Most SME cost sheets stop at material and a rough overhead percentage, which is why loss-making products often look profitable. We rebuild the cost sheet so the answer is honest.

Almost every manufacturer we work with is selling at least one product at a loss and does not know it, because the overhead is spread evenly across everything instead of following the work that caused it.

Three quoted costs, one real one, and the selling price line.

What does your best-selling
product cost to make?

Ask three people in your company today. Write down what they say.

This is what we got.

₹1,840Production head
Material and labour
₹2,310Accounts
Plus a flat overhead percentage
₹2,970What it actually cost
Once machine time, setup and rejection were allocated

It was being sold at ₹2,650.

The company had been growing that product line for two years, because everyone agreed it was the profitable one.

You cannot price what
you have not costed.

Rebuilding the cost sheet

We start on the shop floor, not in the ledger. Which machines run which products, how long the setup takes, what the rejection rate really is, and where power and manpower are actually consumed.

Then we allocate. A product that ties up a machine for six hours and needs three changeovers should not carry the same overhead as one that runs unattended overnight.

  • Product-wise cost for every item you sell, built from actual consumption
  • Cost-centre-wise analysis by machine, department, plant or vertical
  • Standard costing, so a variance becomes visible in the same month it happens
  • Contribution and break-even per product, so you know which orders to chase and which to price up
  • Scrap, rejection and rework costed properly instead of buried in material consumption

Budgets that get compared to something

A budget nobody compares against actuals is a wish. We set periodic budgets at a level your managers can influence, then run the comparison every month and explain the difference.

Over a couple of quarters this changes behaviour more than any policy document, because people start seeing the consequence of their own decisions in a report with their name on it.

Make, buy or outsource

Should you machine that component in-house or buy it? The answer depends on marginal cost, spare capacity, quality cost and what else that machine could have been doing — not on the full absorbed cost, which is the number most businesses use and the reason they get it wrong.

We build the comparison properly and put the assumptions in writing, so the decision can be revisited when volumes or input prices change.

Client Results

What this looked like in a real business

Client names are held back for obvious reasons.

Manufacturing · costing study

The best-selling product was the loss-making one

What was wrong
Three people quoted three different costs for the same item. Overhead was spread evenly instead of following the machine time and setup that caused it.
What we did
Rebuilt the cost sheet from actual consumption — machine hours, setup frequency, rejection and scrap allocated to the products that caused them.

The flagship was costing ₹2,970 and selling at ₹2,650. Repriced within the quarter.

Manufacturing · purchase function

Every buyer was negotiating a different price

What was wrong
Purchases went through without a standard approval route, so the same item was bought at different rates and vendor selection was informal.
What we did
Wrote a simple vendor onboarding, purchase order and approval process, with clear limits for who can approve what.

Purchase costs down 8–10%, with a clean audit trail on every order.

What you get

  • Product-wise cost sheets
  • Cost-centre and machine-hour rates
  • Standard costing system
  • Monthly budget versus actual with variance analysis
  • Contribution and break-even analysis
  • Make, buy or outsource comparisons

Manufacturing · costing study

Three people quoted three different costs for the same item. Once machine time, setup frequency and rejection were allocated properly, the flagship product turned out to cost ₹2,970 against a selling price of ₹2,650. It was repriced within the quarter.

More client results

Questions we get asked

How is this different from what our accounts team already does?

Most SME accounts teams calculate material cost accurately and then apply a flat overhead percentage. That is not costing, it is averaging. The difference shows up when you compare two products with very different machine time, setup frequency or rejection rates — one is subsidising the other, and pricing decisions are made blind.

Do we need to change our ERP for this?

Usually not. We build the costing model alongside your existing system first and prove it. If it should then live inside the ERP, we help configure it, but we would rather get the logic right before it gets automated.

How long does a costing study take?

Four to eight weeks for a single-plant manufacturer, depending on the number of SKUs and how much production data is already captured. You get the first meaningful findings well before the end.

What if the study shows we are losing money on our biggest product?

That happens more often than you would expect, and it is the most valuable outcome. It usually leads to a price revision, a process change, or a decision to stop taking that order — all of which are better than continuing to fund it unknowingly.

Start with a free 30-minute review of your numbers

Send us the last two years' balance sheets and the pain point that is bothering you most. We come back with things you can fix in the next quarter — no obligation, no sales deck.

CA Neel Shah
+91 93710 03780
CA Yash Patni
+91 83085 53339