See how Supista helps e-commerce teams process orders faster, keep inventory accurate across channels, automate returns, and deliver a better customer experience at any volume.

Scale your e-commerce operations with Supista

E-commerce teams handle thousands of orders, returns, and inventory movements daily — mostly manually. Supista deploys agentic workflows that automate order processing, inventory sync, returns, supplier coordination, and customer communication so you scale without scaling your team.

Agentic Applications for E-Commerce Operations

Automated order routing, pick-pack optimisation, and same-day dispatch prioritisation compress fulfillment time at every stage.

Real-time multi-channel sync and flash sale reservation eliminate overselling and keep all marketplace listings accurate.

Automated return approval, refund initiation, and fraud detection cut handling time and protect margin on every return.

Proactive WISMO automation, post-delivery feedback, and SLA escalation keep customers informed and issues resolved before they escalate.

E-commerce success comes down to execution speed and reliability at scale. Supista automates the operational backbone — from order in to delivery done and return resolved — so your team focuses on growth, not firefighting.

Business Impact

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.

Order Auto-Routing to Nearest Warehouse

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

SLA Breach Alerts

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

Pick-Pack-Ship Optimisation

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

Failed Delivery Retry Automation

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

Courier Partner Allocation by Performance

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

COD Order Verification

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

Bulk Order Processing

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

Same-Day Dispatch Prioritisation

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

Order Status Customer Notifications

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

Multi-Channel Order Consolidation

Order Fulfillment

Supista routes every incoming order to the optimal fulfillment location based on stock availability and proximity.

At-risk orders are flagged before SLA breach so operations teams can intervene proactively.

Orders eligible for same-day dispatch are automatically identified and moved to the front of the pick queue.

Supista orchestrates the full order fulfillment journey — from auto-routing incoming orders to the right warehouse, through pick-pack-ship optimisation, to delivery confirmation — with SLA tracking and proactive alerts throughout.

Selling on multiple channels with independent inventory pools causes overselling when the same unit is allocated to more than one order simultaneously.

Real-Time Multi-Channel Inventory Sync

Procurement teams discover bestsellers are out of stock only when orders start failing, by which point the supplier lead time means a multi-day stockout.

Low Stock Reorder Automation

Slow-moving and dead inventory accumulates across warehouses undetected, consuming storage space and working capital without generating returns.

Dead Stock Identification

Procurement is done based on intuition and past orders rather than demand signals, resulting in either overstock on slow movers or stockouts on fast movers.

Demand Forecasting for Procurement

Without structured bin location management, warehouse staff spend excess time locating SKUs, leading to picking inefficiency and errors on multi-SKU orders.

Warehouse Bin Location Management

Stock at FBA warehouses and third-party logistics providers is managed separately, creating a fragmented view of total available inventory for selling.

FBA and 3PL Stock Sync

Returned items sit in a returns queue for days before being inspected and restocked, effectively removing sellable inventory from the available pool.

Returns-to-Stock Processing

Bundles and kits sold as a single listing consume multiple component SKUs, but component inventory is not reserved at order time, leading to fulfillment failures.

Bundle and Kit Inventory Tracking

During flash sales, normal order processing competes with the surge in demand, causing overselling and cancellations that damage customer trust and marketplace ratings.

Flash Sale Stock Reservation

Inventory Management

Every sale across any channel deducts from a central inventory pool and updates all marketplace listings instantly.

Supista triggers supplier POs automatically when any SKU crosses its reorder threshold across the warehouse network.

Supista reserves inventory for flash sale events in advance, preventing overselling during high-velocity demand spikes.

Supista maintains a real-time inventory position across all warehouses and sales channels, automates low-stock reordering, manages returns-to-stock, and prevents flash sale overselling through stock reservation.

Return requests are reviewed manually one by one, slowing down the process and creating inconsistent decisions based on who handles the request.

Automated Return Request Processing

Support agents apply return policies inconsistently, leading to policy exceptions that cost margin and customer perception of unfairness.

Return Policy Enforcement

Refunds are initiated manually after return approval — a process that is slow when volume is high, causing SLA breaches and customer complaints.

Refund Initiation Within SLA

Returned items are not inspected consistently — good stock is written off unnecessarily and damaged stock is restocked, causing customer complaints on re-sold items.

Returned Item Inspection and Restocking

Scheduling courier pickups for returns is a manual coordination task between customer service, logistics, and courier partners — causing delays and missed pickups.

Courier Pickup Scheduling for Returns

When returns are processed through marketplaces, seller disputes — for incorrect return reasons or non-matching items — must be filed manually within tight windows.

Seller Dispute Automation

Without aggregated return data, operations and product teams cannot identify which products, listings, or sellers are driving disproportionate returns.

Return Trend Analysis

Customers who serially return items after use (wardrobing) or return different items than what was ordered represent a material cost that goes undetected in manual processes.

Fraud Return Detection

Returns Management

Customer return requests are validated and approved against policy automatically without manual review for eligible cases.

Supista initiates refunds automatically for policy-compliant returns and tracks completion against the SLA.

Supista identifies suspicious return patterns and flags potential fraud before refund is issued.

Supista automates the full returns lifecycle — from customer request through policy enforcement, refund initiation, inspection, and restocking — reducing handling time and improving customer satisfaction.

Procurement teams discover stock shortages reactively, placing emergency orders at premium prices when systematic reorder triggers are absent.

Supplier PO on Low Stock

Procurement plans are built on past order quantities rather than forward-looking demand signals, causing misalignment between stock levels and actual sales velocity.

Demand-Based Procurement Planning

Suppliers frequently deliver later than their quoted lead time but this is not systematically tracked, so procurement does not adjust reorder timing accordingly.

Supplier Lead Time Tracking

Supplier invoices for marketplace sellers often do not match PO prices or GRN quantities, and reconciling these manually consumes significant finance team time.

Three-Way Matching for Marketplace

Supplier selection for reorders is based on historical relationships rather than objective performance data on delivery and quality.

Supplier Performance Scorecard

Advance payments to suppliers are made and tracked in spreadsheets, with no visibility into how much has been paid, which POs it is applied against, or when delivery is due.

Advance Payment Management

Supplier product catalogs — prices, product attributes, new SKUs — are updated manually into the product master, causing delays in listing new items and pricing errors.

Catalog Update from Supplier Feed

Freight costs are not tracked at PO level and procurement teams have no visibility into how shipping terms and carrier choices affect total landed cost.

Freight Cost Optimisation

Supplier & Procurement

Supista creates supplier POs automatically when SKU stock crosses the reorder point, without buyer intervention.

Actual delivery dates are tracked against expected lead times and persistent delays trigger supplier performance alerts.

Delivery reliability, invoice accuracy, and fill rate are scored continuously for every supplier.

Supista automates supplier PO creation from live stock signals, tracks supplier lead times, performs three-way matching, and maintains supplier performance scorecards — giving procurement teams speed and control.

Where-is-my-order queries account for a disproportionate volume of customer support contacts, each requiring an agent to look up tracking information manually.

WISMO Automation

Customer complaints are received through multiple channels and handled inconsistently — some resolved quickly, others forgotten — with no tracking or SLA.

Customer Complaint Workflow

Customers contact support repeatedly asking whether their refund has been processed, because refund status is not communicated proactively after return approval.

Refund Status Tracking

Complaints that are not resolved within the first response SLA are forgotten or discovered only when customers escalate to marketplace or social media.

Escalation Management

Product and operations teams have no systematic data on customer experience after delivery because feedback collection is not automated.

Post-Delivery Feedback Automation

Loyalty programme points are calculated and tracked in a separate system, causing discrepancies between customer-facing balances and actual transaction records.

Loyalty Points Management

Support agents write customer communication from scratch or from informal saved templates, resulting in inconsistent tone, incomplete information, and compliance risks.

Customer Communication Templates

Customer Operations

Order status queries are answered automatically from live tracking data without support agent involvement.

Unresolved complaints are automatically escalated after configured response windows, ensuring no case is dropped.

Feedback requests are sent automatically after delivery and responses are aggregated by product and courier.

Supista automates WISMO responses, complaint workflows, refund tracking, escalation management, and post-delivery feedback — so customer support teams resolve issues faster with less manual effort.

Automate order routing to the nearest and most cost-effective fulfillment location

Sync inventory in real time across all marketplaces and channels

Process returns and refunds within SLA without manual review

Coordinate supplier procurement against live stock signals

Automate customer order status communication at every milestone

Monitor SLA compliance and courier performance with proactive alerts

Returns Management

All Use Cases

Automated Return Request Processing

Return Policy Enforcement

Refund Initiation Within SLA

Returned Item Inspection and Restocking

Courier Pickup Scheduling for Returns

Seller Dispute Automation

Return Trend Analysis

Fraud Return Detection

See Returns Management automation in action

Automate your operations. Orchestrate your workflows. Scale with confidence.

Returns Management

All Use Cases

Automated Return Request Processing

Return Policy Enforcement

Refund Initiation Within SLA

Returned Item Inspection and Restocking

Courier Pickup Scheduling for Returns

Seller Dispute Automation

Return Trend Analysis

Fraud Return Detection

See Returns Management automation in action

Automate your operations. Orchestrate your workflows. Scale with confidence.

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