Lineage [NASDAQ:LINE]
Making Every Pallet Movement Count

Lineage [NASDAQ:LINE] has built its automated warehousing approach around this relationship between physical infrastructure and inventory intelligence. Its temperature-controlled facilities combine high-density automated storage and retrieval systems with proprietary technologies for identifying incoming products, predicting storage requirements and coordinating outbound movements. Its approach connects the machinery handling inventory with the information used to determine where that inventory should go.

Rather than treating automation as a collection of individual machines, Lineage develops systems that work across the warehouse process. Its technology portfolio includes computer vision for pallet receiving, machine learning for inventory placement and algorithms that support efficient truck loading. These capabilities are implemented across selected facilities within its global cold storage network.

Building More Capacity into Less Space

Cold storage warehouse design presents a particular challenge because every cubic foot of refrigerated space carries an energy requirement. Traditional layouts must accommodate forklift movement and access aisles, limiting how densely products can be stored. Lineage uses automated storage and retrieval systems (AS/RS) to reduce the space required for material handling while increasing the number of pallets a facility can accommodate.

Its automated warehouses use cranes and rail-guided vehicles to move inventory through multi-level storage racks. Products can be placed in high-bay locations without requiring conventional forklift access to each storage position. The result is a more compact storage configuration in which equipment movement is coordinated through automated handling systems.

Lineage demonstrated the approach through its automated expansion in Sunnyvale, Texas. The facility has a nine-level storage structure approximately 30 meters tall. According to Lineage, the expansion achieved three times the storage density while consuming approximately half the power of a comparable manual warehouse storing the same product volume.

By integrating computer vision, data science and automated material handling, Lineage develops warehouse operations in which storage decisions and product movements reinforce one another.

These results illustrate how facility design can influence operating efficiency. Greater density allows more inventory to be accommodated within a smaller refrigerated volume, affecting the energy required to maintain temperaturecontrolled conditions. The performance figures are specific to Sunnyvale, but the underlying principle informs Lineage’s wider automated warehousing strategy.

The company also uses Dynamic Profiling, an approach intended to help its automated facilities accommodate changing customer requirements. This flexibility matters because storage volumes and product movement patterns can vary considerably over time. Automation must support different inventory profiles rather than being configured exclusively for one fixed operating pattern.

Identifying Inventory Before It Enters Storage

The effectiveness of automated handling depends on knowing exactly what has arrived. Food manufacturers and distributors often use different labeling formats, while pallets can contain information relating to product identity and expiration dates that must be recorded accurately.

Lineage developed Lineage Eye to automate much of this receiving process. The proprietary system combines imaging hardware with computer vision software to identify products and capture relevant information as pallets enter selected automated facilities.

Its development began when Lineage was planning the Sunnyvale expansion and could not find an existing receiving technology that met its requirements. The company’s engineering and data science teams developed a system using multiple cameras and a turntable to capture pallet images from different angles. The technology has subsequently evolved to analyze high-resolution images using barcode recognition and optical character recognition.

Lineage Eye extracts information such as product identifiers and lot codes, then compares the findings with customer shipment records. Discrepancies can be flagged for investigation before products enter storage. The images also create a visual record of incoming pallets, supporting later reviews when inventory information needs to be verified.

Data captured during receiving is connected with LinOS, Lineage’s warehouse management system, allowing information to be used in subsequent warehouse activities.

The value extends beyond faster processing at the receiving dock. Accurate identification establishes the information foundation for storage decisions and retrieval. A pallet recorded incorrectly at arrival can create problems much later when the product is needed for shipment. By automating identification and providing photographic evidence, Lineage helps warehouse teams address potential discrepancies closer to their source.

Once a pallet has been identified, the warehouse must determine where it should be stored. An available location is not necessarily the most efficient one, particularly when retrieval times vary between storage positions.

Lineage uses its proprietary Sybil algorithm to inform these decisions. Leveraging its data science capabilities, Sybil applies machine learning to historical inventory data to predict how long products are likely to remain at a facility.

The algorithm evaluates characteristics including customer identity and product information, while drawing on historical patterns associated with particular times of the year. These inputs help it estimate expected pallet dwell time, giving the warehouse management system information relevant to storage placement.

Products expected to leave relatively quickly can be assigned more accessible positions, while inventory likely to remain longer may be placed deeper within the storage structure. Sybil informs the warehouse management system rather than directly controlling every equipment movement.

This distinction is central to Lineage’s approach. Automated cranes and vehicles perform the physical work of storing and retrieving pallets, while software helps determine how that work should be organized. The result is a warehouse operation in which material handling and inventory decisions are developed together.

The capability is particularly useful in food distribution, where product movement can change according to customer demand and seasonal patterns. By incorporating historical behavior into placement decisions, Lineage can adapt warehouse activity to expected inventory movement instead of relying exclusively on fixed storage rules.

Coordinating the Outbound Process

Warehouse automation must also support the movement of products toward customers. Food manufacturers and retailers frequently require shipments containing different products in varying quantities, making outbound preparation more complex than retrieving complete pallets from storage.

Lineage addresses part of this requirement through automated layer picking. The technology removes product layers from pallets and supports the preparation of mixedproduct orders, reducing repetitive manual handling associated with certain outbound configurations.

The company’s automation also extends to the loading dock through Libra, a proprietary algorithm developed to determine how pallets should be arranged inside refrigerated trucks.

Libra uses information about the outbound load and vehicle specifications to evaluate possible loading arrangements. Its calculations consider truck dimensions and axle weight restrictions, along with the time required for handling activities. The system then generates instructions that guide operators in placing pallets within the trailer.

Traditionally, loading teams may need to stage substantial portions of a shipment on the dock before deciding how to arrange them. Libra allows that planning to occur earlier, reducing the need to move products into staging areas merely to evaluate loading possibilities.

The technology was initially piloted at Lineage’s Sunnyvale facility before being introduced at selected additional automated locations. Its development demonstrates how the company applies data science beyond storage and retrieval to the decisions that affect outbound distribution.

Bringing Automation Together in One Facility

Lineage’s automated warehouse in Hazleton, Pennsylvania, provides a concrete example of how these capabilities can operate within one facility. Opened in October 2024, the approximately 386,000-square-foot site accommodates around 85,000 pallet positions for temperature-controlled products.

The warehouse uses cranes and rail-guided vehicles for automated storage and retrieval, while receiving lanes incorporate Lineage’s proprietary computer vision technology. Automated layer picking supports the preparation of orders for customers handling extensive product selections.

These systems address related stages of the same warehouse process. Receiving technology captures information about incoming pallets before automated handling equipment moves them into storage. Inventory management systems then support retrieval, while layer picking helps prepare products for outbound distribution.

Hazleton demonstrates that the value of automation comes from coordinating these activities rather than introducing machinery into isolated tasks. Lineage also applies different levels of automation across its network, allowing facilities and customer requirements to determine which technologies are appropriate.

Its in-house engineering and data science teams support this process by developing technologies around the practical demands of warehouse operations. That combination of operating experience and proprietary software gives Lineage the ability to refine how automation performs within the cold chain.

A pallet’s journey through an automated facility begins with identifying what has arrived and determining where it belongs. The decisions continue through storage and retrieval until the product is prepared for shipment. Lineage connects those stages through physical automation and intelligence that informs how inventory moves.

Its contribution to automated warehousing lies in making these decisions work together, helping temperature-controlled facilities accommodate more inventory while managing the movement of products with greater precision.