Tally Stock Analytics: Inventory Levels, Turnover, and Reorder Alerts

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FireAI Team
Tally Analytics
4 Min Read

Quick Answer

Tally stock analytics pulls inventory data from Tally Prime — stock items, godowns, batches, and stock groups — and visualises stock levels, turnover ratios, ageing, slow-moving items, and reorder alerts in interactive dashboards. It helps businesses optimise inventory by identifying what's overstocked, what's running low, and what's not moving at all.

Indian businesses using Tally Prime often carry 15–30% more inventory than necessary because they lack real-time visibility into stock movement patterns. Stock analytics from Tally data changes that by turning godown registers and stock summaries into decision-ready dashboards.

Why Stock Analytics from Tally Matters

Tally Prime's stock summary report shows current quantities and values. But businesses need more:

  • Which items haven't moved in 90+ days? (Dead stock tying up capital)
  • Which items are below reorder level? (Stockout risk)
  • What's the turnover ratio by stock group? (Capital efficiency)
  • Which godown is overstocked relative to demand? (Rebalancing opportunity)

A stock analytics dashboard answers these automatically from Tally data.

Core Stock Analytics Metrics

Stock Value Summary

Total inventory value from Tally, broken down by:

  • Stock groups (raw material, WIP, finished goods)
  • Godowns/warehouses
  • High-value vs low-value items (ABC analysis)

Inventory Turnover Ratio

Turnover Ratio = Cost of Goods Sold ÷ Average Inventory

Stock Group COGS (Annual) Avg Inventory Turnover Days in Stock
Finished Goods A 2,40,00,000 30,00,000 8.0x 46 days
Finished Goods B 1,20,00,000 25,00,000 4.8x 76 days
Raw Materials 80,00,000 12,00,000 6.7x 55 days
Packing Material 15,00,000 5,00,000 3.0x 122 days

Higher turnover means capital is being used efficiently. Items with low turnover need investigation.

Stock Ageing Analysis

How long has current stock been sitting in the godown?

Age Bucket Value % of Total Action
0–30 days 28,00,000 40% Fresh stock — normal
31–60 days 18,00,000 26% Monitor
61–90 days 12,00,000 17% Review demand forecast
91–180 days 8,00,000 11% Push sales / run promotion
180+ days 4,00,000 6% Dead stock — write-off candidate

Reorder Alerts

Based on Tally's reorder level settings and current consumption rates:

  • Items below reorder level flagged in red
  • Items approaching reorder level (within 20%) flagged in amber
  • Suggested reorder quantity based on average monthly consumption

Slow-Moving and Dead Stock

Items with zero or minimal movement in the last 90/180 days. This is capital trapped in the warehouse that could be freed up through clearance sales, returns to vendors, or write-offs.

Building from Tally Prime Data

Data Sources in Tally

  • Stock Summary: Current quantity and value by item
  • Stock Item master: Reorder levels, minimum quantity, units of measure
  • Godown master: Warehouse-wise stock allocation
  • Purchase and Sales registers: Movement data for turnover calculation
  • Stock Journal / Manufacturing Journal: Internal movement and production entries
  • Batch details: Batch-wise stock for expiry and FIFO tracking

Multi-Godown Analytics

For businesses with multiple godowns (factory, warehouse, branch), the dashboard shows:

  • Stock distribution across locations
  • Slow-moving items in one godown that may be needed at another
  • Transfer recommendations to balance inventory

Industry-Specific Stock Analytics

Manufacturing

  • Raw material availability vs production plan
  • WIP tracking by production stage
  • Finished goods stock vs order book
  • Bill of Materials (BOM) component availability

Trading and Distribution

  • Stock-to-sales ratio by product category
  • Seasonal demand patterns (e.g., higher AC sales in summer)
  • Return rate by product (quality signal)
  • Vendor fill rate (what percentage of ordered quantity was delivered)

Retail

  • SKU-level stock tracking across outlets
  • Fast-moving items that need frequent replenishment
  • Category-wise margin analysis (stock value × margin percentage)
  • Shrinkage tracking (difference between book stock and physical stock)

Pharmaceuticals

  • Batch-wise expiry date tracking
  • Near-expiry alerts (items expiring in next 30/60/90 days)
  • FIFO compliance monitoring
  • Schedule H/H1 drug movement tracking

Stock Analytics Impact on Working Capital

Every rupee stuck in unnecessary inventory is a rupee not available for operations:

  • Reducing dead stock by 50% frees up significant working capital
  • Improving turnover from 4x to 6x releases a substantial portion of inventory investment
  • Better reorder management prevents both stockouts (lost sales) and overstocking (locked capital)

How FireAI Helps

FireAI connects natively to Tally Prime — one of 250+ supported data connectors including databases, cloud apps, and file uploads — and builds stock analytics dashboards automatically. It shows turnover ratios, ageing analysis, reorder alerts, dead stock identification, and godown-wise distribution. Ask "Which items have zero movement in the last 90 days?" or "Show stock groups with turnover below 4x" in English or Hindi and get instant results from your Tally data.

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Frequently Asked Questions

It analyses stock movement data from Tally — purchase receipts, sales deliveries, and stock transfers — to identify items with zero or minimal movement over 90, 180, or 365 days. These items are flagged with their current value so management can decide on clearance sales, vendor returns, or write-offs.

Yes. If you use Tally's godown feature, stock analytics pulls godown-wise quantities and values for each item. This enables cross-location visibility — you can see if an item that's overstocked in one godown is running low in another, enabling stock transfers instead of fresh purchases.

Target turnover depends on the industry. FMCG and fast-moving retail should aim for 8–12x annually. Manufacturing typically targets 4–8x. Slow-moving or seasonal products may be 2–4x. The key is tracking the trend — declining turnover over months signals overstocking or slowing demand that needs attention.

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