How the Head of IT Operations connected product provenance, cold-chain monitoring and inventory planning across more than 10 locations.
A meat retailer’s ability to trace its products depends on information collected across sourcing, processing, storage, transportation and sale. When those records sit in separate systems, reconstructing a product’s journey becomes an exercise in reconciliation.
At FARM2COOK, Rishikesh Aripineni has built the technology connecting these activities. As Head of IT Operations, he designed and deployed the company’s blockchain traceability platform, developed its consumer-facing provenance application and integrated supply-chain information with enterprise and retail systems.
His responsibilities also encompass cold-chain sensors, machine-learning models for inventory planning and cloud infrastructure supporting more than 10 locations. Drawing on 25 years of IT experience, Aripineni combines systems architecture with responsibility for the technology’s continued operation.
Building Traceability Around the Product Journey
Aripineni designed, architected and deployed FARM2COOK’s blockchain platform to maintain animal-level supply-chain records. The system establishes a digital history through which source information can be connected with subsequent processing and movement.
The central engineering challenge is preserving that connection as products pass between facilities and business systems. A sourcing record must remain associated with the relevant product through inventory changes and retail transactions.
Aripineni’s contribution extended beyond the ledger itself. He integrated the traceability infrastructure with FARM2COOK’s enterprise resource planning and point-of-sale applications, linking product history with the transactions generated during daily operations.
These connections make traceability part of the business workflow. Receiving inventory, moving stock and recording sales contribute to a connected record that operations teams can retrieve and review.
Bringing Provenance Information to Consumers
Aripineni also built FARM2COOK’s mobile application and QR scanning infrastructure, giving consumers a way to access information associated with a product’s journey.
The application connects a physical product identifier with its digital provenance record. Delivering that experience requires coordination between the scanning interface, the underlying records and the systems supplying product information.
This work carries the traceability platform beyond internal reporting. Information captured within the supply chain becomes accessible through a customer-facing interface, making consistency between product identification and digital records essential.
The result is a direct channel through which FARM2COOK can present sourcing and provenance information alongside the products it sells.
Monitoring Conditions Across Storage and Transit
Knowing where a product travelled does not establish the conditions under which it was handled. To address that additional requirement, Aripineni deployed an IoT sensor network across FARM2COOK’s locations and transportation operations for real-time temperature monitoring.
The network captures environmental readings that can be reviewed alongside supply-chain activity. Connecting these measurements with product movement provides operations teams with a more complete basis for examining storage and transit conditions.
Aripineni’s work brought sensor infrastructure into the same operational environment as the company’s traceability systems. That integration supports the review of handling conditions across facilities and transportation stages, where maintaining temperature visibility is a recurring operational requirement.
Using Machine Learning for Inventory Planning
Aripineni built machine-learning models to support demand forecasting across more than 10 FARM2COOK locations. The models inform inventory planning, addressing the balance between maintaining availability and limiting excess perishable stock.
The operational challenge varies by location: purchasing and allocation decisions must account for differences in demand while remaining coordinated across the business.
The forecasting models were developed to help teams make those decisions more systematically. Their purpose is to support stock planning and reduce exposure to over-ordering and spoilage.
This work extends Aripineni’s role from recording product history to supporting decisions about future inventory requirements. It places planning, traceability and monitoring within the broader technology environment he manages.
Maintaining the Infrastructure Behind Retail Operations
Aripineni architected FARM2COOK’s cloud infrastructure using microservices across AWS, Microsoft Azure and Google Cloud. The platform supports applications and data systems used across the company’s locations.
He also oversees technology vendors, contractors and systems infrastructure. His responsibilities therefore span both the development of core platforms and the coordination required to keep them operating.
That scope is consequential because the applications depend on one another. The provenance app requires access to product records; enterprise integrations must exchange transaction data; and monitoring and forecasting systems require maintained infrastructure.
Aripineni’s position brings oversight of these dependencies together with direct knowledge of the systems’ architecture and implementation.
Connecting Technology with Daily Operations
At FARM2COOK, Aripineni’s work connects animal-level provenance records, consumer access, temperature monitoring and inventory planning with the systems used to run the business.
The defining feature is the integration across those functions. By building the platforms and linking them to retail operations, he has established a technology foundation through which product information can move from the supply chain to the point of sale—and into the consumer’s hands.
