The operational intelligence behind every meal we have

Roughly one-third of all food produced globally, around 1.3 billion tons, is lost or wasted each year. While consumer behavior plays a role, a significant share of this loss occurs long before food reaches a store or a plate.

Food production is resource-intensive, particularly in animal protein systems. When food is wasted, so are the water, feed, energy, land, and labor required to produce it. Reducing loss is therefore not only an efficiency challenge, but a structural one across the food supply chain.

As the global population continues to grow toward an estimated 10 billion by 2030, the industry faces a clear constraint: more demand, with fewer available resources. Addressing this gap requires better control, better coordination, and earlier insight across production, not simply more output.

Improving outcomes at scale depends on how well data is captured, connected, and used in daily operations. Modern food production generates vast amounts of information through controllers, sensors, and monitoring systems at farm level.

Historically, much of this data remained isolated or was reviewed only after issues had already materialized. The opportunity today lies in connecting these systems and applying analytics that support timely, practical, and in some cases, preventive decisions.

Speria operates across critical parts of food production, from climate control and storage to farm-level systems for animal and plant environments. By building on this installed base, data from daily operations can be translated into structured insight that helps reduce waste, improve consistency, and support animal welfare.

“Connecting systems across the value chain enables clearer visibility into how conditions, inputs, and outcomes relate to each other. This creates the foundation for earlier intervention and more predictable results.”  

explains Nathan Lamb, APAC Regional Sales Manager of Speria.

In practice, the value of connected systems becomes visible in situations where timing and precision matter. For example, poultry producers supplying international markets often need to meet strict weight requirements. Animals that are too light or too heavy may result in penalties, inefficiencies, or waste.

By combining farm-level sensor data with analytics, producers can adjust conditions and feeding strategies in time to stay within target ranges, reducing both waste and cost. Similar principles apply in egg production.

In large-scale hatcheries producing tens of millions of eggs each week, even small deviations in environmental conditions can have significant downstream effects. Understanding how temperature, humidity, genetics, and handling interact is difficult using manual observation alone.

By analyzing patterns across connected data sets, it becomes possible to identify underlying causes and intervene earlier, improving hatch rates and reducing unnecessary losses.

The impact of connected operational data extends beyond individual production stages. Information from breeding and growing operations can support more accurate feed planning, inventory management, environmental control, and logistics.

Insights generated upstream can also contribute to better cold-chain management, reduced waste during processing, and more consistent quality at delivery. These benefits emerge when data is embedded into workflows in ways that are usable by operational teams.

The goal is not to replace human judgment, but to support it by prioritizing what matters and reducing uncertainty. Over time, this approach helps move the industry away from reactive problem-solving and toward more predictable, controlled operations.

Traceability is increasingly important for both regulators and consumers. Understanding where food comes from, how it was produced, and how it moved through the supply chain is becoming a basic expectation.

Connecting systems across production stages creates the technical foundation for traceability, without requiring manual reporting or after-the-fact reconstruction. When operational data flows consistently from farm through processing and distribution, transparency becomes a by-product of how the system operates.

Looking ahead, improved traceability can also help consumers make more informed choices and support efforts to reduce waste further downstream.

Improving food systems at scale does not happen all at once. It requires incremental progress, grounded in real operations and supported by trusted technology and partners.

Through collaboration with producers, technology companies, universities, and research institutions, new capabilities can be tested, refined, and deployed where they deliver tangible value. The focus remains on practical outcomes: fewer losses, better welfare, more efficient use of resources, and greater predictability over time.

As digital tools become more deeply embedded into daily production environments, they are reshaping not just how food is produced, but how confidently and responsibly it can be managed.

Speria connects farm-level operations to supply chain planning and execution through real-time data, technology, software and services. Turning fragmented systems into one integrated way to run more efficient, predictable, and productive operations.

Speria brings together the technologies, software and services that run operations with the intelligence that helps optimize them. At the farm level, controllers, sensors, and gateways form the foundation to run and monitor daily operations, capturing real-time data. This connects directly with supply chain optimization software that plans, coordinates, and improves performance across the entire system, linking day-to-day execution with end-to-end decision-making.

• Supply chain optimization software
• Farm-level controllers, sensors, and IoT infrastructure
• Real-time operational production data captured from farm-level operations
• Analytics & benchmarking
• Services and deep industry expertise
• Connected data flow from farm operations into supply chain planning and optimization