Quick answer
Tally stock analytics visualises inventory data from Tally Prime — stock levels, turnover ratios, ageing, slow-moving items, and reorder alerts — in interactive dashboards. Tools like FireAI connect to Tally in one click and auto-sync stock data in real time, helping businesses identify overstocked items, prevent stockouts, and free up working capital trapped in dead inventory.
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 — see accounting KPIs)
- 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's one-click Tally connector syncs your stock data automatically — no CSV exports, no manual uploads, zero coding required. Once connected, real-time auto-sync keeps your dashboards current as new stock vouchers are entered in Tally Prime.
Pre-built stock dashboard templates give you turnover ratios, ageing analysis, reorder alerts, dead stock identification, and godown-wise distribution out of the box. With natural language queries (NLQ), ask "Which items have zero movement in the last 90 days?" or "Show me stock groups with turnover below 4x" in English or Hindi and get instant visual answers.
Example: A Mumbai-based distributor carrying ₹1.2 crore inventory connected FireAI to Tally and discovered ₹18 lakhs in dead stock (items with zero movement for 180+ days). After a targeted clearance drive, they freed up that working capital within 6 weeks — money that was previously invisible in Tally's standard reports.
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