Use CasesRetail & E-commerce
Retail & E-commerce

OMS exported. RTOs flagged. Returns sorted. All before 9 AM.

Whether you run a chain of stores or a D2C brand shipping 10,000 orders a day, MISBuddy turns your OMS exports, POS reports, and return logs into classified, actionable datasets — without any BI tool or data engineer.

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4
Core Workflows
9 AM
RTO + Delayed Order List Ready
Auto
Dead-Stock & Stockout Alerts
Pre-sorted
Returns Queue by Resolution Action
The Problem

Each file is a snapshot that's already stale

Retail and e-commerce operations teams live in spreadsheets:

  • A daily order fulfilment sheet downloaded from the OMS
  • A returns tracker maintained by the warehouse team
  • A store-level sales report compiled manually from POS exports
  • A vendor replenishment sheet updated weekly by the buying team

Each file is a snapshot. By the time it's compiled, filtered, and sent to the right person, the actionable window has closed.

MISBuddy automates the classify-and-distribute step so your teams get the right subset of records the moment the data is uploaded.
Core Workflows

Four workflows covering the full operations stack

1
Order Fulfilment Management
Configuration: Orders
order_id string mobile_number unique_id channel choice sku string category choice total_value float payment_method choice payment_status choice carrier choice promised_delivery_date date order_status choice delay_days integer customer_complaint choice
Disposition Logic: Order Exception Classification
P1
FRAUD_RISK
payment_method = COD AND customer_complaint is set AND total_value > ₹5,000
P2
WRONG_OR_DAMAGED
customer_complaint in [Wrong Item, Damaged, Missing]
P3
RTO
order_status = RTO
P4
DELAYED_COD
payment_method = COD AND delay_days > 2
P5
DELAYED_PREPAID
payment_method ≠ COD AND delay_days > 3
P6
FAILED_PAYMENT
payment_status = Failed
Operational use: Upload the daily OMS export. Export RTO → courier dispute team. Export WRONG_OR_DAMAGED → customer experience for proactive outreach. Export DELAYED_COD → ops to reschedule before attempted delivery.
2
Returns & Refunds Processing
Configuration: Returns
return_id string return_reason choice return_channel choice product_condition choice refund_type choice refund_amount float return_received_date date qc_status choice qc_fail_reason choice refund_status choice
Disposition Logic: Returns Processing Queue
P1
QC_FAIL_REJECT
qc_status = Fail AND refund_status = Pending
P2
ESCALATED
refund_status = Escalated
P3
SELLER_FAULT
return_reason in [Wrong Item, Not as Described, Defective]
P4
AWAITING_QC
return_received_date is set AND qc_status = Pending
P5
AWAITING_PICKUP
return_received_date is empty AND return_channel = Pickup
P6
REFUND_PENDING
qc_status = Pass AND refund_status = Pending
3
Store-Level Sales Performance
Configuration: Store Daily Sales

For retail chains tracking daily sales across multiple locations.

store_id string region choice report_date date footfall integer gross_sales float net_sales float target float achievement_pct float avg_transaction_value float promo_pct float
Disposition Logic: Store Health Classification
P1
OUTPERFORMING
achievement_pct > 110%
P2
ON_TARGET
achievement_pct between 90% and 110%
P3
UNDERPERFORMING
achievement_pct < 80%
P4
PROMO_DEPENDENT
promo_pct > 50%
P5
LOW_FOOTFALL
footfall < 50
4
Vendor & Inventory Replenishment
Configuration: SKU Inventory
sku string brand string current_stock integer reorder_point integer safety_stock integer days_of_stock integer sell_through_rate float stockout_days_last_30d integer pending_po_quantity integer dead_stock_flag choice
Disposition Logic: Inventory Action Queue
P1
STOCKOUT_RISK
current_stock < reorder_point AND pending_po_quantity = 0
P2
DEAD_STOCK
dead_stock_flag = Yes OR days_of_stock > 120
P3
FAST_MOVER
sell_through_rate > 80% AND days_of_stock < 15
P4
SLOW_MOVER
sell_through_rate < 30% AND stockout_days_last_30d = 0
P5
REORDER_NOW
current_stock < safety_stock
Integrations

Connects to your entire commerce stack

🛍️
Shopify / WooCommerce
Order export CSV, or API push via webhooks
📦
Unicommerce / Vinculum OMS
Daily fulfilment report CSV
🏭
Increff / EasyEcom WMS
Inventory snapshot CSV
🏪
POS (Posist, Ginesys)
Daily sales CSV per store
🛒
Marketplace (Amazon Seller Central)
Business Report CSV download
Business Outcomes

What changes for your team

Operations Head
Sees the full RTO + delayed order list at 9 AM, not noon. Every exception pre-sorted and routed to the right team.
Customer Experience Team
Gets pre-sorted return queues by resolution action. QC fails, seller faults, and escalations are immediately identifiable.
Regional Sales Manager
Receives a weekly store health report without chasing anyone. UNDERPERFORMING and PROMO_DEPENDENT stores flagged automatically.
Buying Team
Runs the dead-stock export monthly for markdown decisions. FAST_MOVER packet informs urgency for reorder, without manual analysis.
Finance
Reconciles channel-wise sales and returns against payment settlement. Filtered exports per channel, per period, on demand.

Ready to automate your OMS exception workflow?

Book a 30-minute demo. Send us your OMS export format and we'll set up a live classification on your data.

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