ANZCO Foods Chooses Austin Data Labs as Their Innovation Partner


AUSTIN, Texas–()–ANZCO Foods and Austin Data Labs have partnered to embed data science within ANZCO’s lamb and beef supply chain. ANZCO has been on a decade-plus journey to bring data science into their decision-making process and modernize their IT infrastructure. Austin Data Labs was selected as their partner given their industry knowledge and ability to solve the complex problems facing the volatile meat industry with efficiency and precision.

“At ANZCO, we are dedicated to providing nutrition from New Zealand’s finest lamb and beef to our customers in a sustainable and high-quality manner. One key element of that is ensuring our production plan is optimized to produce the right products and minimize waste. With Austin Data Labs we completed the first step in optimizing our supply chain and delivered value to the business in just 4 months.” – Jason Buschl, Head of Planning, ANZCO Foods

A key element of the project’s success involved the hands-on participation of the entire team at ANZCO. They understood where the challenges might arise with an optimization project and had a clear understanding of where help was needed. Utilizing Austin Data Labs’ software, ANZCO was able to roll out a production optimization system as a first step in their broader S&OP vision. Being a high-quality provider of beef and lamb in New Zealand requires the ability to plan the meat supply chain from farm to table. To do so, ANZCO must forecast both the supply of livestock and the needs of the customer, then find the best pl an that matches the two needs.

ANZCO is the perfect innovation partner for Austin Data Labs. They have a clear vision of what is required to manage their supply chain and know that data science is required to solve their key challenges. Working together, we have developed a roadmap that will deliver benefits to the business in manageable segments and have successfully delivered on the first component.” – Simon Drake, CEO, Austin Data Labs

Austin Data Labs provides ANZCO an established data science SaaS platform with easily customizable machine learning modules. With a platform that can scale with the needs of the customer, Austin Data Labs can create a road map to deliver an end-to-end supply chain optimization in bite-sized chunks. In this case the first step was to create an optimized production plan that matched near-term demand with livestock availability. Austin Data Labs builds their products with a customer-first mindset, providing software for industries where the team has deep real-world expertise. This eliminates months of implementation delays caused when software isn’t built with the customer in mind first.

Find out more about innovation at both companies on February 3rd, 2021 at 12:00 PM PST during their live webinar event “Innovating Within the Meat Supply Chain.” Register here: https://bit.ly/ANZCOADL

About Austin Data Labs

Austin Data Labs is a global B2B SaaS company deploying data science at the heart of the global food supply chain. Based in the United States, Austin Data Labs has outposts in New Zealand, Australia, Brazil, and the United Kingdom. The Austin Data Labs team has real-world experience in the industries they serve, all working to help their customers keep the planet fed with their scAIcloud® platform, built with the latest in AI-based data science.

About ANZCO Foods

ANZCO Foods is one of New Zealand’s largest exporters with an annual turnover of $1.53b and nearly 3,000 employees globally. Established in 1984, ANZCO Foods is a multinational company that undertakes a variety of activities including farming, processing, manufacturing and marketing New Zealand beef and lamb products to 80 countries around the world. It also produces sophisticated manufactured food and healthcare products.



Source link

The content is by Business Wire. Headlines of Today Media is not responsible for the content provided or any links related to this content. Headlines of Today Media is not responsible for the correctness, topicality or the quality of the content.

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More

Privacy & Cookies Policy