10 KPI Metrics Your Logistics Dashboard Must Have
- Track 10 core KPIs to drive speed, cost, and customer delight across Tier‑2/3 India.
- Leverage Edgistify’s EdgeOS, Dark Store Mesh, and NDR Management for data‑driven decisions.
- Reduce RTO, COD failures, and returns by 15‑20% in 6 months.
In 2024, India’s e‑commerce volume hit ₹5.6 trn, with Tier‑2 and Tier‑3 cities contributing 35% of growth. Yet 40% of orders still suffer from Cash‑On‑Delivery (COD) failures, high Return‑To‑Origin (RTO) rates, and “Dark‑Store” under‑coverage. Indian couriers such as Delhivery and Shadowfax can deliver within 2–3 days, but only if the logistics stack is tuned to the right KPIs. A robust dashboard that tracks the right metrics turns data into action, slashing delivery times, cutting costs, and boosting customer satisfaction.
1. On‑Time Delivery Rate (OTDR)
| Metric | Target | Current | Gap |
|---|---|---|---|
| OTDR (%) | 95 % | 89 % | +6 % |
Problem – Delays create COD cancellations and repeat shipments.
Solution – Deploy EdgeOS’ real‑time routing to reroute trucks near traffic snarls and forecast weather impacts.
- Integrate traffic APIs into EdgeOS.
- Set dynamic cut‑off windows per city.
2. Order Fulfillment Cycle Time
| Stage | Avg. Time (hrs) | Ideal | Improvement |
|---|---|---|---|
| Order Received | 0.5 | 0.3 | -0.2 |
| Warehouse Pick | 1.8 | 1.2 | -0.6 |
| Dispatch | 0.5 | 0.4 | -0.1 |
| Total | 2.8 | 2.0 | -0.8 |
Problem – Long cycle times inflate inventory holding costs.
Solution – Use Dark Store Mesh to locate micro‑warehouses near high‑volume hubs, reducing pick‑to‑pack time.
3. Cost per Delivery (CPD)
| Cost Component | Avg. ₹ | % Share |
|---|---|---|
| Fuel & Toll | 120 | 40 % |
| Labor | 80 | 27 % |
| Packaging | 30 | 10 % |
| Others | 70 | 23 % |
| Total | 300 | 100 % |
Problem – CPD spikes during festive seasons.
Solution – EdgeOS optimizes truck loads, reducing empty miles; NDR Management reallocates returns to reduce reverse‑logistics costs.
4. Return Rate (RR)
| Category | Current % | Target % |
|---|---|---|
| COD Failures | 8 % | 5 % |
| Quality Issues | 4 % | 2 % |
| Total | 12 % | 7 % |
Problem – High return volume erodes margins.
Solution – NDR Management’s reverse‑logistics analytics predict return hotspots and suggest pre‑emptive quality checks.
5. Warehouse Utilization (WU)
| Metric | Current | Target |
|---|---|---|
| Space Utilization | 68 % | 80 % |
| Labor Utilization | 70 % | 85 % |
Problem – Under‑utilized warehouses increase overhead.
Solution – Dark Store Mesh aligns inventory placement with demand, improving WU without expanding physical footprint.
6. Inventory Turnover (IT)
| SKU Category | Turnover | Ideal |
|---|---|---|
| Electronics | 5.2 | 7.0 |
| Apparel | 6.0 | 8.5 |
| Groceries | 9.5 | 10.0 |
Problem – Slow‑moving stock ties up capital.
Solution – EdgeOS forecasts demand waves, adjusting replenishment signals to vendors.
7. Carrier Performance Score (CPS)
| Carrier | Score (1–10) | Notes |
|---|---|---|
| Delhivery | 8.2 | Reliable but high fuel surcharge |
| Shadowfax | 7.5 | Fast but limited rural reach |
| Blue Dart | 6.8 | Premium but costly |
Problem – Inconsistent carrier performance leads to variable customer experience.
Solution – Use CPS to dynamically assign shipments to carriers based on location, urgency, and cost.
8. Customer Satisfaction Score (CSAT)
| Channel | CSAT | Trend |
|---|---|---|
| App | 82 % | +3 % |
| Phone | 78 % | +1 % |
| SMS | 70 % | +2 % |
Problem – Low CSAT correlates with brand churn.
Solution – Real‑time alerts from EdgeOS trigger proactive customer outreach for delayed orders.
9. Non‑Delivery Rate (NDR)
| Factor | NDR % | Mitigation |
|---|---|---|
| Unverified Address | 4 % | Auto‑validation via NDR Management |
| Vehicle Breakdown | 2 % | Predictive maintenance alerts |
| Weather | 3 % | Weather‑adjusted routing |
Problem – NDR inflates last‑mile costs.
Solution – EdgeOS cross‑checks delivery windows with weather and vehicle health, rerouting proactively.
10. Dark Store Mesh Coverage (DSMC)
| City | Coverage % | Gap |
|---|---|---|
| Mumbai | 80 % | +5 % |
| Bangalore | 75 % | +3 % |
| Guwahati | 50 % | +25 % |
Problem – Rural and semi‑urban markets lack instant delivery.
Solution – Expand Dark Store Mesh nodes in Tier‑2/3 cities, leveraging NDR Management to route returns back to nearest node.
- 1. EdgeOS – The core AI engine that ingests OTDR, CPD, and WU data to optimize routing and load balancing in real time.
- 2. Dark Store Mesh – A distributed network of micro‑warehouses that boosts DSMC and reduces cycle time for Tier‑2/3 hubs.
- 3. NDR Management – A predictive module that flags high‑risk returns, fuel surcharges, and carrier anomalies, feeding back into CPS and CSAT dashboards.
By embedding these modules into your dashboard, you transform raw KPI metrics into actionable insights that cut costs by 12 % and improve on‑time delivery by 7 % within the first quarter.
A logistics dashboard is more than a visualisation tool—it’s the nerve centre that balances speed, cost, and service. Tracking the ten KPIs above, and feeding them into EdgeOS, Dark Store Mesh, and NDR Management, equips Indian e‑commerce players to master the complexities of COD, RTO, and festive spikes. The result? A leaner supply chain, happier customers, and a competitive edge that scales from Mumbai to Guwahati.
- 1. What are the top logistics KPIs for e‑commerce in India?
The top KPIs include On‑Time Delivery Rate, Cost per Delivery, Return Rate, Warehouse Utilization, and Customer Satisfaction Score.
- 2. How can a logistics dashboard help reduce delivery costs?
By tracking CPD and Carrier Performance Scores, the dashboard identifies inefficiencies and reroutes shipments for cost optimisation.
- 3. What is Dark Store Mesh and why is it important?
Dark Store Mesh is a network of micro‑warehouses near high‑volume markets, improving delivery speed and coverage, especially in Tier‑2/3 cities.
- 4. How does EdgeOS improve on‑time delivery?
EdgeOS uses real‑time traffic, weather, and vehicle data to optimise routing, reducing delays and improving OTDR.
- 5. Can NDR Management reduce return rates?
Yes, by predicting return hotspots, validating addresses, and routing returns efficiently, NDR Management can cut return costs by up to 20 %.