Customer Support Automation – Routine Support Query Handling via Structured JSON Responses

1. Overview

This process converts a routine customer‑support query into a ready‑to‑send, structured JSON response. It identifies the query’s category, selects a matching response template, fills in the customer‑specific details, and produces a structured response that can be entered directly into the support ticket system.

2. Business Value

Speed – Answers are generated in seconds, reducing wait times for customers.
Consistency – All responses follow approved language and formatting, protecting brand voice.
Accuracy – Order‑specific data is inserted automatically, minimizing human error.
Scalability – The same workflow can be applied to every routine query, freeing agents to handle complex or escalated cases.

3. Operational Context

When to run – Whenever a support request arrives that fits one of the predefined routine categories (e.g., order status, return request, product information).
Who uses it – Front‑line customer‑support agents.
How often – Every time a qualifying support query is received.

The process is not intended for:

Complex complaints requiring managerial escalation.
Queries that lack the required customer details (e.g., no order number for an order‑related request).

4. Inputs

4.1 Customer Query

Name/Label: Customer Query Text
Type: Text string (the exact message the customer sent)
Details Provided: The full question or comment as written by the customer.

4.2 Customer Details

Field	Type	Details
Customer Name	Text	Full name of the customer (e.g., “Jane Doe”).
Customer Email	Text	Email address used for contact (e.g., “jane@example.com”).
Order Number	Text (optional)	The order identifier if the query relates to an order (e.g., “ORD‑12345”).
Phone Number	Text (optional)	Contact phone number, if supplied.

All inputs are supplied for a single support request.

5. Outputs

5.1 Structured Response

Name/Label: Structured JSON Response (represented here as a list of fields).
Contents:
1. Category – The determined category of the query (e.g., “Order Status”).
2. ResponseMessage – The full reply text that will be sent to the customer.
3. ActionRequired – “Yes” if the agent needs to take further action (e.g., add a note, initiate a refund), otherwise “No”.
4. NextStep – A short instruction for the agent (e.g., “Update shipping status”, “Process return”).
5. Timestamp – Date‑time when the response was generated, in YYYY-MM-DD HH:MM (24‑hour) format.
Formatting Rules:
- Each field is presented on its own line, prefixed by the field name and a colon.
- The response message must contain no placeholder tags (e.g., “{order_number}”) after processing.
- Timestamp must be in the exact format shown above.
- If any required input is missing, the output should contain only an Error field (see Section 8).

6. Detailed Plan & Execution Steps

Read the Customer Query and Customer Details.
- Verify that the query text is present and readable.
- Confirm the presence of the Customer Name and Email; if missing, stop and flag for manual review.
Check for Required Order Information.
- If the query contains keywords such as “order”, “shipping”, “delivery”, verify that an Order Number is supplied.
- If an Order Number is missing for an order‑related query, generate an Error output (see Step 8).
Identify Query Category.
- Scan the query for keyword matches using the Category Keywords Table (Appendix C).
- Assign the first matching category; if none matches, set category to “General Inquiry”.
Select the Appropriate Response Template.
- Use the identified category to locate the matching Template in the Response Templates Table (Appendix C).
- Verify that the template includes placeholders for any dynamic data (e.g., {order_number}, {customer_name}).
Populate the Template.
- Replace each placeholder with the corresponding value from the Customer Details.
- Ensure that no placeholders remain.
Build the Structured Response.
- Fill the “Category” field with the identified category.
- Insert the populated reply into “ResponseMessage”.
- Determine ActionRequired (“Yes” if the response references a follow‑up (e.g., “please check your order status in the system”)); otherwise “No”.
- Provide a brief “NextStep” (e.g., “Verify order status in the order‑management system”).
- Insert the current timestamp in the required format.
Review the Output.
- Check that all required fields are present and correctly formatted.
- Verify that the response does not contain any placeholders or bracketed text.
Error Handling & Failure Scenarios
- Missing Customer Name or Email – Stop processing, generate an output containing only: Error: Missing required customer contact information.
- Missing Order Number for an order‑related query – Generate: Error: Order number required for order‑related query.
- Unrecognizable Query – Assign “General Inquiry” category, use the generic template, set ActionRequired to “No”.
- If the system cannot find a suitable template – Generate: Error: No response template available for category “<Category>”.
Deliver the Structured Response.
- Copy the generated fields into the ticketing system’s response field.

7. Validation & Quality Checks

Presence Checks: Ensure Customer Name and Email are not empty.
Order‑Number Check: If the category is “Order Status”, “Return”, or “Shipping”, verify Order Number is present.
Placeholder Check: No remaining {...} tokens in the final message.
Category Accuracy: Verify that the selected category matches at least one keyword in the query.
Timestamp Format: Confirm the timestamp follows YYYY-MM-DD HH:MM.
Error Flag Check: If any error condition is triggered, verify that the output contains only the relevant error message.

If any check fails, return the appropriate Error message and stop the process.

8. Special Rules / Edge Cases

Multiple Category Keywords: If a query contains keywords for more than one category (e.g., “order” and “return”), prioritize the more specific keyword (Return > Order).
Ambiguous Language: If the query is ambiguous but not escalated, set Category to “General Inquiry”.
Sensitive Information: The response must never include full credit‑card numbers, passwords, or any data not supplied in the input.
Escalation Cases: If the query contains terms like “complaint”, “manager”, “speak to”, or any indication of dissatisfaction, the process should not produce a regular response. Instead, generate: Error: Query requires escalation to supervisor.
Non‑English Queries: If the query language is not English, the process should flag for manual translation.

9. Example

Input

Customer Query: “Hi, I placed an order last week (ORD‑98765) but I still haven’t received the package. Can you tell me the status?”
Customer Details:
- Customer Name: “Emily Smith”
- Customer Email: “emily.smith@example.com”
- Order Number: “ORD‑98765”

Output (Structured Response)

Category: Order Status
ResponseMessage: Hello Emily Smith,
Your order (ORD‑98765) is currently in transit and is expected to arrive by tomorrow. If you need any further assistance, please let us know.
ActionRequired: No
NextStep: None
Timestamp: 2025-08-11 14:23

Example with Missing Order Number

Customer Query: “Where’s my package? I ordered last week.”
Customer Details:
- Customer Name: “Mark Lee”
- Customer Email: “mark.l@example.com”

Output (Error)

Error: Order number required for order‑related query.

Appendix A – FAQ

Q1: What qualifies as a “routine” query? A routine query is one that can be answered with a standard template, such as order status, return instructions, product details, shipping information, or a simple account‑related question (e.g., password reset).

Q2: What if a customer includes multiple issues in one query? Address the first identified category in the order of priority (Return > Order Status > Shipping > Product Info). If multiple distinct categories are present, resolve the highest‑priority one and note the remaining issues for later follow‑up.

Q3: How should the agent handle an “Error” output? The agent must review the original request, collect any missing information from the customer, and manually compose a response or route the case for manual handling.

Q4: Is there a limit on the length of the ResponseMessage? Yes. The response should not exceed 500 characters to ensure readability in the ticketing system.

Q5: Who should verify the final response? The originating agent should perform a quick read‑through before copying the response into the ticket system.

Q6: What if the system’s timestamp is off? If the timestamp does not match the current local time, correct it manually before submitting the response.

Q7: Are there any prohibited words or phrases? Yes. The response must not contain profanity, internal jargon, or any language that could be interpreted as threatening or discriminatory. See Appendix C for a list of prohibited words.

Q8: How often should the response templates be updated? At least quarterly or when new policies are introduced. The updated templates must be uploaded to the “Response Templates” list in Appendix C.

Q9: What if the customer’s email is missing? The process cannot proceed; an error is generated: “Error: Missing required customer contact information.”

Q10: Can I add an attachment to the response? Attachments are not supported by this process. Any required documents must be sent separately by the agent using the ticketing system’s attachment feature.

Appendix B – Glossary

Term	Definition
Category	The classification of a query (e.g., “Order Status”, “Return”, “General Inquiry”).
Template	A pre‑written response that includes placeholders for dynamic data.
Placeholder	A token in a template that will be replaced with actual data (e.g., `{order_number}`).
ActionRequired	Indicator (“Yes”/“No”) of whether the agent must take an extra step after sending the response.
NextStep	A short instruction for the agent (e.g., “Check shipping status”).
Timestamp	The date and time the response was created, formatted as `YYYY-MM-DD HH:MM`.
Error	A message indicating that the process cannot complete due to missing data or a policy violation.
Escalation	The process of forwarding a request to a supervisor or manager.
General Inquiry	A fallback category used when the query does not match any specific category.

Appendix C – Reference Materials

C1. Category Keywords Table

Category	Keyword(s)	Description
Order Status	“order”, “track”, “shipping”, “delivery”, “tracking number”, “where is my order”, “status”	Customer wants to know where a package is.
Return	“return”, “refund”, “exchange”, “defect”, “wrong item”, “return policy”	Customer wants to return or exchange a product.
Product Information	“size”, “color”, “material”, “specification”, “details”, “how does it work”, “what is the …”	Customer seeks product details.
Account & Access	“login”, “password”, “reset”, “forgot”, “account”, “sign in”	Customer needs help accessing an account.
Billing & Payment	“charge”, “billing”, “invoice”, “receipt”, “payment”, “price”	Customer has a billing question.
General Inquiry	none	Default when no other keywords match.

C2. Response Templates Table

Category	Template
Order Status	“Hello {customer_name},
Your order ({order_number}) is currently {order_status}. Expected delivery is {estimated_delivery_date}. If you have further questions, please let us know.”
Return	“Hi {customer_name},
We’re sorry you’d like to return your purchase. Please use the following return link: {return_link}. Once we receive the item, we’ll process your refund within {refund_timeframe}. Let us know if you need any assistance.”
Product Information	“Hi {customer_name},
Here are the details you requested for {product_name}: {product_details}. If you need more information or wish to place an order, let us know.”
Account & Access	“Hello {customer_name},
To reset your password, please follow this link: {reset_link}. If you experience any issues, contact us at {support_email}.”
Billing & Payment	“Hi {customer_name},
We have received your payment of {amount} on {payment_date}. If you need a receipt or have any concerns, please reply to this message.”
General Inquiry	“Hello {customer_name},
Thank you for reaching out. We have received your message: “{original_query}”. A member of our team will respond shortly.”

Placeholders used in the templates:

{customer_name} – Customer’s full name.
{order_number} – The order ID supplied in the input.
{order_status} – Current status (e.g., “in transit”).
{estimated_delivery_date} – Expected delivery date (if known).
{return_link} – URL to the return portal (provided by the business).
{refund_timeframe} – Time it takes to process a refund (e.g., “5‑7 business days”).
{product_name} – Name of the product requested.
{product_details} – Brief description of the product.
{reset_link} – Password‑reset URL.
{support_email} – Support email address (e.g., support@company.com).
{amount} – Payment amount.
{payment_date} – Date of the payment.

C3. Prohibited Words & Phrases

The following words and phrases must never appear in the final response:

Category	Prohibited Terms
Tone & Professionalism	“sorry for the inconvenience”, “as we previously mentioned”, “cannot be helped”, “not our problem”, “no solution”, “the policy states”.
Sensitive Information	Full credit‑card numbers, CVV, password, social‑security number, or any personal identifier not already provided in the input.
Aggressive Language	“hate”, “stupid”, “idiot”, “fool”, “unacceptable”, “threat”.
Disallowed Claims	“guarantee”, “always”, “never” when used without factual basis.

Action: If any prohibited term appears, replace it with a neutral alternative (see Appendix B for examples).

C4. Template Update Procedure

Identify Change – New policy, new product line, or updated shipping timeline.
Draft New Template – Use the format shown in the “Response Templates Table”. Include placeholders for all variable data.
Review – Ensure compliance with tone, prohibited‑terms list, and maximum length (500 characters).
Approve – Send to the content‑approval team.
Publish – Replace the old template in this table.
Notify – Send an email to the support team with a summary of the changes.

Benefit	What it Means for You
Speed	Customers receive answers instantly, keeping satisfaction high
Consistency	All replies follow the same approved tone and format
Scalability	One workflow handles any volume of routine queries without extra effort
Accuracy	Order numbers and personal details are inserted without manual typing

Speed Up Routine Support with Structured AI Replies