Logistics Costs: The Expense No One Optimizes Enough

Lever 1: Volume-based rate renegotiation

Courier rates are volume-sensitive: higher shipment volumes justify lower per-shipment rates. Most brands negotiate their initial courier rates at low volume and do not renegotiate as volume grows. A brand that has grown from 500 to 3,000 monthly shipments with the same courier partner has become a significantly more valuable customer but the rates may not reflect this unless the renegotiation conversation is proactively initiated. The benchmark for renegotiation: any time monthly shipment volume has grown by more than 40% since the last rate negotiation, the brand should request a rate review. The typical outcome of a volume-justified renegotiation is a 5 to 12% reduction in the base rate per shipment at 3,000 monthly shipments at ₹90 average rate, a 10% reduction saves ₹27,000 per month.

Lever 2: Dimensional weight optimisation

Dimensional weight (DIM weight) is the courier's calculation of package weight based on its dimensions rather than its actual weight, applied when the DIM weight exceeds the actual weight. The formula: (length × breadth × height in centimetres) ÷ courier-specific divisor = DIM weight. A package that is 25 × 20 × 15 cm with a 5,000-divisor courier has a DIM weight of 1.5 kg regardless of actual product weight. If the product weighs 0.8 kg, the brand is paying for 1.5 kg on every shipment. Reviewing packaging dimensions against the DIM weight calculation and reducing outer box dimensions where possible without compromising product protection can reduce effective shipping weight by 15 to 30% on products with light but bulky packaging.

Lever 3: Geographic courier allocation optimisation

No courier has uniformly optimal performance and pricing across all of India's delivery geographies. The courier with the best metro delivery performance may have the highest per-shipment rate for Tier 2 and Tier 3 deliveries. The courier with the strongest Tier 2 network may have mediocre metro performance. Analysing shipment data by geography against both cost per shipment and delivery success rate allows dynamic courier allocation routing each shipment to the courier that offers the best combination of cost and delivery performance for the specific destination. Brands that implement geography-based courier routing typically reduce total logistics cost by 6 to 10% without any rate renegotiation, purely through allocation optimisation.

Lever 4: Return logistics cost reduction

Reverse logistics the cost of bringing returned and RTO shipments back to the warehouse is typically charged at 60 to 80% of the forward shipment rate by most Indian courier partners. At a 16% return-plus-RTO rate on 3,000 monthly shipments, the brand is paying reverse logistics on 480 monthly shipments a significant cost that is reduced by every percentage point of return and RTO rate improvement. The reverse logistics cost reduction and the return rate reduction are complementary objectives: the same root cause interventions (better product descriptions, COD verification, proactive delivery communication) that reduce the return rate also reduce the reverse logistics cost.

Lever 5: NDR management to reduce failed delivery cost

Every delivery attempt that fails generates an NDR charge from the courier (typically ₹20 to ₹50 per failed attempt) and extends the delivery cycle, increasing the in-transit period and the associated insurance and handling cost. At a 20% NDR rate on 3,000 monthly shipments with an average 1.8 delivery attempts per NDR event, the brand is paying for 3,600 × 1.8 = 6,480 - 3,000 = 3,480 additional delivery attempts per month (or 540 NDR events × 1.8 extra attempts per event). Reducing the NDR rate from 20% to 14% through the five-lever NDR reduction programme eliminates approximately 180 NDR events per month saving ₹14,400 to ₹36,000 per month in NDR charges alone, plus the proportional reduction in reverse logistics costs on the events that resolve as RTO.