SWARM Engineering is a Software-as-a-Service (SaaS) platform specifically for the food supply chain, rapidly solving complex problems such as supply & demand forecasting, optimizing inbound and outbound logistics, or maximizing yield in controlled environment agriculture. SWARM is a ‘no-code’ solution, so end users do not need data science expertise, knowledge of machine learning, or a degree in math to use the software. Business users simply define their problem, and SWARM matches their definition with a curated library of algorithms (which can be added to by customers or 3rd parties) to rapidly deliver a solution via the cloud.
SWARM are anticipating continued growth in ag-data, combined with an ongoing scarcity of data scientists, especially those with agricultural expertise. They aim to simplify the use of AI and advanced Machine Learning in the food supply chain, so that organizations can reap the rewards of the huge advances being made, at affordable price points, using existing team members’ skills and knowledge.
Serra Ventures Managing Partner,
“SWARM has developed a truly disruptive technology which harnesses AI & ML to drive massive efficiency gains across multiple verticals within the broader food supply chain. Part of what makes SWARM’s approach so revolutionary is that it democratizes AI & ML by making it both useful, and useable for its clients in the ‘real world’.” said
The global pandemic has highlighted the critical importance of supply chains, and food has frequently made headlines – in many cases, for all the wrong reasons; who can forget seeing dramatic images of milk being poured away because of logistical challenges? “In the next few years, we have a tremendous opportunity to make a step change in efficiency and sustainability in food production and transportation,” says Howcroft, “We need to give the right tools to the people at the heart of the food supply chain to help them deliver this transformation.”
SWARM is a Software-as-a-Service platform that uses a next generation cognitive computing system designed to tackle issues in the food supply chain and logistics such as load planning, inbound sourcing, demand/supply planning, maximizing yield, and pricing optimization. The SWARM platform is structured around a multi-agent approach which can utilize a curated market of algorithms. SWARM provides an easy way for business users to define problems, and rapidly match this to a solution without any software coding, or knowledge of advanced AI, or machine learning.
SOURCE SWARM Engineering