Austin Data Labs is a global B2B SaaS company deploying AI-based data science at the heart of the global food supply chain. With outposts around the globe, a team that has real-world experience in the industries we serve, and a fully remote “great work can happen anywhere” philosophy, we work hard to help our customers keep the planet fed with our platform, built with the latest in AI-based data science.
We wanted to highlight examples of our AgriTech across several industries and regions.
One national dairy customer based in the US needed to create a robust, multi-team IBP process that powered strategic business decisions for management across all departments. We were able to create end-to-end modeling that better managed their master data, utilized it more comprehensively, aligned all divisions within the company, and helped them avoid missing opportunities previously lost to slow decision-making and obscured information. We enhanced this process with robust business complexity models that accounted for time varying reverse bills of materials, telescoping time buckets, production and storage constraints, and external impacts on their dairy supply chain. Being able to have their decision making process supported a full 3 years out offered fantastic long-term opportunity in the face of dairy industry volatility.
A unique end-to-end, farm-to-market grocery chain based in Oceania needed help uniting their sales vision with their supply chain needs. The divisions that are using our special blend of rules-based cooperation within their ERP in tandem with our data-science-based products are seeing solid returns. For example, they are seeing returns of more than 4% of sales in just one of their meat divisions, and an overall increase in sustainability and food and packaging waste reduction that is an essential element in bringing their revenue up across the board.
A US pork company needed help with production planning and waste reduction. They implemented our solution across their production planning and supply and demand planning operations. This enabled them to ride out waves of volatility, make better decisions, and see longer-term returns like “sold product” as much as 6 to 8 weeks in advance. The benefits of being able to get more bang for their buck are easy to spot. Pairing those data-driven insights with their sales operation and incorporating whole-market data has seen savings increase their per-dollar profit as much as 10 cents on the dollar. That added up to Millions of recovered revenue and reduced waste in the first few months of their implementation.
A Brazil-based meat company (one of the largest beef suppliers in the world) came to us seeking solutions for pricing optimization, and quickly saw the benefits of deploying real data science innovation throughout their meat supply chain. Sure, our supply chain optimization work was part of an innovation system that helped increase their net revenue past the $10 Billion mark in one year, but that wasn’t the only achievement. We also helped them solve a cross national issue, cementing their place at the forefront of the beef industry – a decision and solution that they would have missed without great data science.
We could go on ad nauseum about our customers: we prioritize their happiness and pride ourselves on our customer care and customer retention. We’ll close out with one last example that illustrates the joy of unexpected benefits.
A US based beef company came to us for help with supply and demand as well as board-driven sustainability goals. Our product was so successful in solving their supply and demand challenges that they decided to take it off-piste and utilize its data for every decision – even off label decisions. One area where they deployed our software was packaging. First we helped them get to 60-65% pre-planned production, then they were able to extrapolate those insights and that data to ensure their packaging was matching that rate of production with zero waste and zero delay – an unexpected (and sustainable) benefit.
