Lakeville Liquors Launches Fundraiser for Police K9 Program

General Interest
Meeting Date: Monday, June 30, 2025
Focus: Municipal liquor store fundraising initiative for police department

Lakeville Liquors has announced a month-long fundraising campaign in July to support the acquisition of two new police canines for the Lakeville Police Department.

The municipal liquor operation is offering residents the opportunity to contribute through their store membership programs. Customers can join the wine club or brew club with a $12 donation, or opt for a premier membership with a $24 contribution.

All proceeds from the membership donations will directly support the K9 program, according to the announcement. The initiative aims to strengthen the police department's capabilities by adding two new four-legged officers to the force.

The fundraising effort will be conducted across all Lakeville Liquors locations throughout July.

This story was created by artificial intelligence (a large language model) based on the proceedings captured in the video below.

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Other Topics from This Document

  • Police K9 Fundraiser

Source Document
Focus: Original document text

[0:00] hey everyone we're excited to announce

[0:02] that July is fundraiser month at

[0:04] Lakeville Liquors We're asking for your

[0:07] support and help with the cost of two

[0:09] new police canines for the Lakeville

[0:11] Police Department Here's how you can

[0:13] help Visit one of the Lakeville liquor

[0:15] stores in July and join one of our

[0:17] exclusive clubs Our wine club and brew

[0:20] club memberships are free with a $12

[0:22] donation or upgrade to our premier

[0:24] membership for just a $24 donation Every

[0:27] dollar goes towards the K9 fundraiser

[0:30] Together we can help bring two new

[0:32] four-legged officers to our community

[0:35] Thank you for your continued support and

[0:37] for helping Lakeville to be a safer and

[0:39] stronger community

[0:40] [Music]

This story was created by artificial intelligence (a large language model) based on the proceedings captured in the video below.

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