add D2C Reorder Nudge Agent for subscription-free retention#104
Open
bhavya-ops21 wants to merge 2 commits intoLamatic:mainfrom
Open
add D2C Reorder Nudge Agent for subscription-free retention#104bhavya-ops21 wants to merge 2 commits intoLamatic:mainfrom
bhavya-ops21 wants to merge 2 commits intoLamatic:mainfrom
Conversation
Added README for the D2C Reorder Nudge Agent detailing its functionality, input/output formats, and technologies used.
Add README for D2C Reorder Nudge Agent
Contributor
📝 WalkthroughWalkthroughA new README document has been added to the reorder-nudge-agent kit that documents the D2C Reorder Nudge Agent's purpose, operational flow, API request/response schemas, implementation technologies, and usage examples. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes 🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
Contributor
There was a problem hiding this comment.
Actionable comments posted: 1
🧹 Nitpick comments (1)
kits/automation/reorder-nudge-agent/README.md (1)
27-33: Use a stable machine-readable date format in API output.
reorder_dateis shown as"Mon Mar 31 2026"while input uses ISO (YYYY-MM-DD). Consider returning ISO-8601 for downstream automation consistency.
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro
Run ID: 5c075adc-0437-4551-86e2-561470b5c897
📒 Files selected for processing (1)
kits/automation/reorder-nudge-agent/README.md
Comment on lines
+1
to
+42
| # 🔁 D2C Reorder Nudge Agent | ||
|
|
||
| **Built for A_Mowglies** — a pre-launch D2C disposable underwear brand. | ||
|
|
||
| ## Problem Statement | ||
| D2C brands selling consumable/repeat-purchase products lose revenue when customers forget to reorder. There's no automated way to calculate when a customer will run out and send a personalized nudge — without a human in the loop. | ||
|
|
||
| ## What This Agent Does | ||
| 1. Takes customer purchase data as input (name, purchase date, quantity, daily usage) | ||
| 2. Calculates exactly when they'll run out of stock | ||
| 3. Generates a personalized WhatsApp reorder nudge via LLM | ||
| 4. Returns the message + reorder date instantly via API | ||
|
|
||
| ## Flow | ||
| API Request → Code (calculates restock date) → Generate Text (LLM nudge) → API Response | ||
|
|
||
| ## Input | ||
| ```json | ||
| { | ||
| "customer_name": "Priya", | ||
| "purchase_date": "2026-03-01", | ||
| "quantity": 30, | ||
| "daily_usage": 1 | ||
| } | ||
| ``` | ||
|
|
||
| ## Output | ||
| ```json | ||
| { | ||
| "message": "Hey Priya! Just a friendly reminder...", | ||
| "reorder_date": "Mon Mar 31 2026", | ||
| "days_remaining": 6 | ||
| } | ||
| ``` | ||
|
|
||
| ## Built With | ||
| - Lamatic.ai (flow builder + deployment) | ||
| - Google Gemini 2.5 Flash | ||
| - JavaScript (date calculation logic) | ||
|
|
||
| ## Use Case | ||
| Applicable to any high-repeat-purchase D2C brand — disposables, supplements, pet food, skincare etc. |
Contributor
There was a problem hiding this comment.
Add missing Setup and Environment Variables sections.
This README explains flow and I/O, but it does not document installation/setup steps or required env vars, which makes kit onboarding incomplete.
📌 Suggested README patch
# 🔁 D2C Reorder Nudge Agent
@@
## Flow
API Request → Code (calculates restock date) → Generate Text (LLM nudge) → API Response
+
+## Setup
+1. Import this kit into your Lamatic workspace.
+2. Configure the `agent.json` workflow in your project.
+3. Connect your outbound channel integration (e.g., WhatsApp/SMS provider, Klaviyo).
+4. Test with sample payloads from the **Input** section below.
+
+## Environment Variables
+Document and configure the required secrets before deployment:
+
+```bash
+GEMINI_API_KEY=<your_google_ai_api_key>
+LAMATIC_API_KEY=<your_lamatic_api_key_if_required>
+WHATSAPP_API_TOKEN=<token_if_whatsapp_delivery_is_enabled>
+KLAVIYO_API_KEY=<key_if_klaviyo_sync_is_enabled>
+```
+
+> Keep only the variables your workflow actually uses, and remove unused entries.As per coding guidelines, kits/**/README.md: Every kit must have a README.md that documents setup, environment variables, and usage.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| # 🔁 D2C Reorder Nudge Agent | |
| **Built for A_Mowglies** — a pre-launch D2C disposable underwear brand. | |
| ## Problem Statement | |
| D2C brands selling consumable/repeat-purchase products lose revenue when customers forget to reorder. There's no automated way to calculate when a customer will run out and send a personalized nudge — without a human in the loop. | |
| ## What This Agent Does | |
| 1. Takes customer purchase data as input (name, purchase date, quantity, daily usage) | |
| 2. Calculates exactly when they'll run out of stock | |
| 3. Generates a personalized WhatsApp reorder nudge via LLM | |
| 4. Returns the message + reorder date instantly via API | |
| ## Flow | |
| API Request → Code (calculates restock date) → Generate Text (LLM nudge) → API Response | |
| ## Input | |
| ```json | |
| { | |
| "customer_name": "Priya", | |
| "purchase_date": "2026-03-01", | |
| "quantity": 30, | |
| "daily_usage": 1 | |
| } | |
| ``` | |
| ## Output | |
| ```json | |
| { | |
| "message": "Hey Priya! Just a friendly reminder...", | |
| "reorder_date": "Mon Mar 31 2026", | |
| "days_remaining": 6 | |
| } | |
| ``` | |
| ## Built With | |
| - Lamatic.ai (flow builder + deployment) | |
| - Google Gemini 2.5 Flash | |
| - JavaScript (date calculation logic) | |
| ## Use Case | |
| Applicable to any high-repeat-purchase D2C brand — disposables, supplements, pet food, skincare etc. | |
| # 🔁 D2C Reorder Nudge Agent | |
| **Built for A_Mowglies** — a pre-launch D2C disposable underwear brand. | |
| ## Problem Statement | |
| D2C brands selling consumable/repeat-purchase products lose revenue when customers forget to reorder. There's no automated way to calculate when a customer will run out and send a personalized nudge — without a human in the loop. | |
| ## What This Agent Does | |
| 1. Takes customer purchase data as input (name, purchase date, quantity, daily usage) | |
| 2. Calculates exactly when they'll run out of stock | |
| 3. Generates a personalized WhatsApp reorder nudge via LLM | |
| 4. Returns the message + reorder date instantly via API | |
| ## Flow | |
| API Request → Code (calculates restock date) → Generate Text (LLM nudge) → API Response | |
| ## Setup | |
| 1. Import this kit into your Lamatic workspace. | |
| 2. Configure the `agent.json` workflow in your project. | |
| 3. Connect your outbound channel integration (e.g., WhatsApp/SMS provider, Klaviyo). | |
| 4. Test with sample payloads from the **Input** section below. | |
| ## Environment Variables | |
| Document and configure the required secrets before deployment: | |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
This PR adds the D2C Reorder Nudge Agent, built for A_Mowglies .
The agent solves a major pain point for repeat-purchase D2C brands: Revenue leakage due to forgotten reorders. It automates the calculation of a customer's "stock-out" date and generates a personalized WhatsApp/SMS nudge without requiring a subscription model.
Features
purchase_dateanddaily_usage.Tech Stack
Changes
d2c-reorder-nudgeexample folder.agent.jsonworkflow configuration.Verification
kits/automation/reorder-nudge-agent/kit with documentation