Manufacturing Finance Analytics

For most Indian manufacturers, the cost of goods manufactured (COGM) is a figure that emerges at month-end after the accounts team manually pulls raw material consumption from stores, labour hours from the payroll register, and overhead allocations from a cost sheet spreadsheet. By the time COGM is ready, the production run it describes is already 3 weeks old.

FireAI connects Tally stock ledger entries, purchase vouchers, and payroll data to calculate COGM at the product and batch level continuously. The system applies your bill of materials to actual consumption, adds direct labour cost from attendance-linked payroll, and allocates overheads using your chosen basis, whether machine hours, labour hours, or floor space. The result is a COGM figure available within 24 hours of a production run closing, not 3 weeks later.

What FireAI calculates:

• Direct material cost per unit by product and batch, sourced from Tally stock consumption entries
• Direct labour cost per unit using actual hours logged against each production order
• Manufacturing overhead applied per unit based on your allocation method
• Total COGM by product, plant, and period with full cost component drill-down
• COGM trend by product over rolling 12 months to surface cost creep before it compounds
• Unit cost comparison across batches of the same product to identify yield and efficiency variation

This gives plant finance teams a defensible, auditable COGM figure they can use for pricing decisions, profitability reviews, and transfer pricing without waiting for the month-end close.

Standard costing is the foundation of manufacturing finance control. Every product has a standard cost set at the beginning of the year based on planned material prices, labour rates, and overhead rates. When actual costs deviate from standard, the variance needs to be identified, explained, and acted on. In practice, most Indian manufacturers calculate variances quarterly at best, and the analysis is done manually in Excel.

FireAI automates standard vs actual cost variance reporting by comparing Tally actual cost entries against your standard cost master at the product, component, and plant level. Variances are decomposed into price, quantity, and efficiency sub-variances automatically, so the finance team can see not just that costs are over standard, but why.

What FireAI tracks:

• Material price variance: difference between standard purchase price and actual purchase price per unit
• Material usage variance: difference between standard material quantity and actual consumption per unit produced
• Labour rate variance: actual hourly cost vs standard hourly rate
• Labour efficiency variance: actual hours vs standard hours per production order
• Overhead spending variance: actual overhead incurred vs overhead budget
• Overhead volume variance: absorbed overhead vs budgeted overhead at actual production levels
• Rolling 12-month variance trend by product to identify systematic vs one-off cost deviations

Variances above your threshold (configurable by product family) trigger automatic alerts so the plant controller is notified within 24 hours of a material deviation, not at month-end.

Overhead absorption is one of the most consequential and least-understood numbers in manufacturing finance. When a plant absorbs less overhead than it incurs (under-absorption), the shortfall flows directly to the P&L as a period cost. When it absorbs more than it incurs (over-absorption), inventory is overstated. Both scenarios distort product profitability and can mislead pricing and production planning decisions.

Most Indian manufacturers calculate overhead absorption at month-end when the production quantities are finalised and the overhead spend is posted in Tally. FireAI shifts this to a rolling weekly calculation, so the plant controller can see under-absorption building mid-month and take corrective action, whether that is accelerating a production run, deferring a discretionary overhead, or raising a management alert, before the variance locks into the period P&L.

What FireAI tracks:

• Budgeted overhead rate per machine hour or labour hour by cost centre
• Actual overhead incurred this period from Tally expense postings by cost centre
• Overhead absorbed based on actual production volumes and hours
• Under-absorption and over-absorption by cost centre, updated weekly
• Fixed vs variable overhead breakdown: fixed overhead volume variance and spending variance separated
• Rolling 12-month absorption rate trend to identify cost centres with persistent under-absorption
• Alert when weekly cumulative under-absorption exceeds your threshold (configurable by plant or cost centre)

Product profitability in manufacturing is rarely what it appears. A product with a 32% gross margin on paper may actually deliver 22% once actual material costs, scrap, rework labour, and correct overhead absorption are applied. Conversely, a product priced conservatively may deliver better margins than expected because its production is efficient and its overhead burden is low.

FireAI builds product-level gross margin reports from actual cost data in Tally, not from standard costs alone. By combining COGM at actual cost with net revenue from sales invoices, the system produces a realised gross margin per product per period. This is the number that matters for pricing decisions, product portfolio reviews, and customer profitability analysis.

What FireAI produces:

• Realised gross margin by product: net revenue minus actual COGM (not standard COGM)
• Gross margin bridge: how standard margin differs from realised margin and what drove the gap
• Margin ranking across all products to identify the top and bottom 20% by profitability
• Customer-level margin analysis: which customers buy high-margin products and which concentrate orders in low-margin SKUs
• Volume-weighted margin trend: whether overall product mix is shifting toward or away from higher-margin products
• Scenario analysis: what happens to realised margins if material prices rise a further 5%, or if a specific customer's order volume doubles

This gives the commercial and finance teams the same view of product profitability, eliminating the disconnect between the margin the sales team thinks they are selling at and the margin the finance team reports at month-end.