Order Fulfillment

Manually deciding which warehouse should fulfill each order is slow and error-prone, increasing shipping cost and time when orders are routed to sub-optimal locations.

SLA breaches are discovered after they happen — through customer complaints — because there is no system monitoring fulfillment progress against SLA milestones.

Warehouse staff pick orders in an unstructured sequence, increasing walking time, picking errors, and packing delays that slow overall throughput.

Failed delivery attempts result in orders being returned to origin if the retry process is not managed promptly — causing RTO costs and lost revenue.

Courier allocation is done by fixed rules or manually, without considering actual delivery performance data, resulting in high-failure couriers handling significant volumes.

COD orders from high-risk customers or suspicious patterns result in delivery attempts and RTO costs when orders are rejected at the door.

Large wholesale or bulk orders require special handling for pick sequencing, multi-carton packing, and invoice generation — done manually with high error risk.

Same-day dispatch SLA orders are mixed into the general pick queue and discovered late in the day, causing missed dispatch cut-offs.

Customers contact support in large numbers asking for order status because updates are not sent proactively at each fulfillment milestone.

Orders from multiple channels — own website, Amazon, Flipkart, quick commerce platforms — arrive in separate systems, creating fragmented fulfillment management.