Analytics How-To

How to Build a Supply Chain Dashboard (Step-by-Step)

Sanmit Vartak

4 min read··Updated

Quick answer

Build a supply chain dashboard by mapping your procurement, warehousing, and logistics stages, then connecting Tally or ERP data to a zero-code BI tool like FireAI. Use pre-built templates to create stakeholder-specific views with real-time alerts for stockouts, delayed POs, and SLA breaches. FireAI's Tally connector and NLQ engine make setup possible in 1–2 weeks.

A supply chain dashboard is one of the highest-ROI analytics investments for Indian manufacturers and distributors — preventing stockouts, identifying supplier issues, and reducing working capital through better inventory control.

Manual Supply Chain Tracking vs Automated Dashboard

Factor Manual (Excel/WhatsApp) Automated (FireAI Dashboard)
Stockout detection Discovered when customer complains Real-time alert before stockout
Supplier tracking Phone calls, follow-up emails Live PO status from Tally
Inventory visibility Weekly stock count, 2–3 day lag Real-time from Tally stock ledger
Working capital impact ₹50L–₹2Cr excess inventory (typical) 15–25% reduction with better visibility
Monthly effort 20–30 hours across team Zero — auto-updates
Cost for ₹25Cr revenue manufacturer ~₹40,000/month (coordinator time) ~₹5,000/month (tool cost)

For a typical Indian manufacturer doing ₹10–50Cr revenue, poor supply chain visibility leads to ₹20–80 lakh in excess inventory and 5–10% lost sales from stockouts annually. An automated dashboard pays for itself within weeks.

Step 1: Map Your Supply Chain Stages

Before building any dashboard, map the stages where you need visibility:

  1. Procurement: Purchase orders raised, supplier delivery confirmation, goods received
  2. Inbound Logistics: Shipments in transit, expected arrival dates, customs status
  3. Warehousing: Stock levels, movements, picking performance, quality holds
  4. Outbound Fulfillment: Orders dispatched, delivery status, returns
  5. Supplier Performance: On-time delivery, quality, price variance

Not every business needs all five stages in phase one. Start with the 1–2 stages causing the most pain.

Step 2: Identify Data Sources

Supply Chain Stage Typical Data Source
Purchase orders Tally, ERP, procurement module
Inventory ERP, WMS, Tally stock ledger
Outbound orders ERP, order management system
Delivery tracking Logistics provider API (Delhivery, Blue Dart, etc.)
Supplier data ERP purchase transactions

For most Indian manufacturers, the primary data source is Tally — which holds purchase, sales, and inventory data. FireAI connects directly to Tally via a native connector, reading stock, purchase, and sales data in real time — no ODBC setup, no manual export.

Step 3: Build the Core Dashboard Views

Procurement Manager View:

  • Open purchase orders by supplier and expected delivery date
  • POs overdue by more than 3 days (e.g., ₹12 lakh in pending POs from top 3 suppliers)
  • Goods received vs goods ordered this month
  • Vendor-wise payment outstanding

Warehouse Manager View:

  • Current stock levels vs minimum stock (reorder alerts)
  • Stock movement today (inbound and outbound)
  • Aging inventory (items not moved in 30/60/90 days — typical problem: ₹15–30 lakh in dead stock)
  • Pending goods to receive (advance shipment notices)

Logistics Coordinator View:

  • Orders dispatched today
  • Deliveries in transit with expected arrival
  • Delayed deliveries and reason categories
  • Returns and reverse logistics pending

Supply Chain Head / Operations View:

  • End-to-end dashboard combining all four views above
  • Supplier scorecard (top/bottom performers)
  • Fill rate and OTIF (on-time in-full) trends
  • Inventory health by category (fast/slow/dead)

Step 4: Set Up Alerts

The highest-value feature of a supply chain dashboard is automated alerts:

  • Stockout alert: Item falls below minimum stock level (e.g., "SKU X below 100 units — reorder now")
  • Delayed PO alert: Supplier delivery expected today not received by 3 PM
  • Overdue delivery: Customer order not delivered within SLA
  • Inventory spike: Unusual stock build-up of a SKU (e.g., "SKU Y inventory ₹8 lakh above normal — investigate")
  • Cash flow alert: Working capital tied in inventory exceeds ₹1Cr threshold

Step 5: Review and Iterate

Start with the most important 5–7 metrics and add complexity over time. A supply chain dashboard used daily is worth more than a comprehensive one that nobody looks at because it's too complex.

How to Do This with FireAI

Here's the exact step-by-step to build your supply chain dashboard with FireAI:

  1. Connect Tally — Install the FireAI Tally connector. Purchase orders, stock ledger, sales vouchers, and party data sync automatically. No ODBC, no IT help needed.
  2. Add other data sources — Connect logistics APIs (Delhivery, Blue Dart), Google Sheets for manual tracking, or ERP databases. FireAI supports 250+ data sources.
  3. Choose a template — Select the pre-built Supply Chain or Inventory dashboard template. It comes with common metrics like stock levels, PO aging, OTIF, and supplier scorecard pre-configured.
  4. Ask questions in plain English — Use FireAI's NLQ engine: "Show me top 10 items by stock value", "Which suppliers have overdue POs?", or "What is my inventory turnover by product category?" — get instant answers without SQL.
  5. Build role-specific views — Create separate dashboards for procurement, warehouse, logistics, and supply chain head using drag-and-drop. Apply filters for branch/location.
  6. Set real-time alerts — Configure WhatsApp or email alerts: "Alert if any item falls below reorder level" or "Notify if PO from Supplier X is overdue by 2+ days."
  7. Schedule reports — Auto-deliver weekly procurement summaries and monthly supply chain reviews to your operations team.

Total setup time: 1–2 weeks. Zero coding, zero SQL, no IT department required.

See what is a supply chain dashboard for the full overview of metrics and use cases.

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