Problem | Alert | Action | Impact |
Order Accuracy is dropping | Trigger an alert when the ratio of #orders without any incidents/total orders drops below a threshold | Identify problematic areas, routes, drivers or trucks causing the bottlenecks and implement corrective actions | Fluctuations in Order accuracy in specific areas or specific times signal localised issues(or) bottlenecks which can be overlooked in traditional reports(monthly or quarterly), identifying and solving them can improve efficiency before they(issues) become endemic. |
Step-by-step guide:
Step 1: Choose an Alert type
Choose the SQL Metric based alert to trigger an alert when the Order Accuracy drops below the critical threshold.
Step 2: Write an SQL query to fetch a value
Sample Query - to calculate the Order Accuracy rate for the last 7 Days. You can change the where conditions to calculate for different areas, time periods, drivers, hubs etc.
SELECT (1 - (failed_orders/total_orders)) AS order_accuracy
FROM
(SELECT
SUM(DISTINCT CASE WHEN (order_status = “Closed”
AND (item_status = “Damaged” OR delivery_status=”Failed” OR rto_flag = TRUE OR ontime_delivery_status = “Delayed”))
THEN 1 ELSE 0 END) AS failed_orders
,
SUM(DISTINCT CASE WHEN (order_status = “Closed”)
THEN 1 ELSE 0 END) AS total_orders
FROM orders
WHERE order_timestamp BETWEEN DATEADD(Day,-7,GETDATE()) AND GETDATE())
Step 3: Configure Alert Condition
Alert Frequency: 24 Hrs
Column: order_accuracy
Operator: <
Value: {{critical_threshold}}
Step 4: Configure Team and Assignees
Team is responsible for this alert (optional) - Delivery Logistics Team
Person assigned to the incidents (optional) - Team Lead
Step 5: Configure Alert and Incident Details
Alert name: Order Accuracy Monitoring (7 Day moving average)
Configure Incident Tile: Order Accuracy for last 7 days is low at {{order_accuracy}}
Default Incident Priority: High
Step 6: Setup Notifications
Channel: email/slack
id: {{email_id or slack channel}}
Escalation:
Duration: 24 Hrs
Member: {{}}
Channel: {{}}
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