---
title: POCLite Deliverables
slug: viking-ajoco-lab
docTags: 
createdAt: 2025-10-16T17:23:05.754Z
---

You can find the data that was generated for Usecase 1 and Usecase 2. Use this information to get a new environment created with the same use cases. Just need to give your data and source it according to your glossary. 

## Scope Document

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/i4tjK87oMvHuOwwcg36yu-20251016-182310.pdf" label="Viking - AJO CO - Demo Scope.pdf"}

## Scope and Agreement Session Review

::embed[]{url="https://vimeo.com/1127971376?share=copy&fl=sv&fe=ci"}

:::ExpandableHeading{isOpen="true"}
## Use Case Technical Implementation Highlights

**[Use Case 1: River Cruise Book & Do Program](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/campaigns/orchestrated-campaigns/0b0b0cb2-7e27-459b-8106-f4a9bdb7e16c)**

**Technical Implementation**:

- **[Recipients](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/dataset/browse/68ed3663dc09d61e8e14f089) Dataset**: 200 unique customer profiles with demographics, preferences, and customer tier
- **[Bookings](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/dataset/browse/68ed3669ef4a78fcd6c55cae/activity?initialLoad=true\&limit=50\&page=1\&sortDescending=1\&sortField=updated\&updated_end=2025-10-17T03%3A59%3A59.999Z\&updated_start=2025-10-10T04%3A00%3A00.000Z) Dataset**: 402 bookings with departure dates, destinations, and booking status- 
- **Source:** [Snowflake](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/source/accounts/7e5f7905-c0a7-40b9-910e-94598615349e/activity?initialLoad=true\&limit=20\&page=1\&sortDescending=1\&sortField=created)

**Data Schema Highlights (See - Scope Document)**: 

- *[Recipients](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2F8d7fff71ac475c98a6da01e44650a5db3a20993bdcd5f6a3): * (Primary Key)- emailAddress- firstName, lastName- customerSegment (Classic, Silver, Gold, Platinum)- destinationPreference- launchCode
- *[Bookings](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2Ff02cd240b5ccbf3646a3cf1b533c3b2c68101d261a597fb0) (Related Entity)*- bookingId (Primary Key)- emailAddress (Foreign Key)- departureDate- destination- bookingStatus- tripType
- **[Relationship](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2F8d7fff71ac475c98a6da01e44650a5db3a20993bdcd5f6a3/erd)**: 1\:many (customer → bookings)
- **[AEP Profile Email Address Namespace](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2F1118fc8be763f5e0e3008df22e8e6843d2bcf422b83924b2)**

**Personalization Strategy**:

- Dynamic content based on destination, departure date, and customer segment
- Campaign Timing: 45-90 days before departure for optimal conversion

**Sample Campaign Flow**:

1. Identify customers with bookings departing in 60-90 days
2. Filter for customers who haven't purchased premium add-ons
3. Personalize email based on destination and customer tier
4. Track engagement and conversions

**[Use Case 2: Survey Series](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2F8703c3b294f607b471205d110d051a64751c4a9dcbf6cfff)**

**Data Schema Highlights (See scope document)**: 

- *[Recipients](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/schema/browse/https%3A%2F%2Fns.adobe.com%2Fadobeamericaspot5%2Fschemas%2F8703c3b294f607b471205d110d051a64751c4a9dcbf6cfff): * (Primary Key)- customerId

**Technical Implementation:**

**[Recipients](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/dataset/browse/68ee8e95d31f01dc5abaf605/activity?initialLoad=true\&limit=50\&page=1\&sortDescending=1\&sortField=created) Dataset**: 200 unique customer profiles

**Source: **[Snowflake](https://experience.adobe.com/#/@adobeamericaspot5/sname\:demo9-1025/journey-optimizer/platform/source/accounts/7e5f7905-c0a7-40b9-910e-94598615349e/activity?initialLoad=true\&limit=20\&page=1\&sortDescending=1\&sortField=created)
:::

## DDL Files

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/fabUxnPeV0920rVTK4XBJ-20251016-172518.ddl" label="uc1_schema.ddl"}

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/OWQ_XMkk0RoRTM5GI3LE8-20251016-172557.ddl" label="uc2_schema.ddl"}

## Raw Data

**Usecase1:**

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/HCsgv-g2q8h-JAzVb0E_A-20251016-172703.csv" label="UC1_Recipients.csv"}

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/Bq-Onwz1UjaLcgmcH6CYy-20251016-172725.csv" label="UC1_Bookings.csv"}

**Usecase2:**

::File{src="https://api.archbee.com/api/presign/1Jp0iolWv35Z_mkI7oUiT/L-98iD2Hj0z7E1zQBZQpF-20251016-172803.csv" label="UC2_Recipients.csv"}