Roambee
![Roambee Logo Roambee Logo](/files/vendor/roambee66a271abf0e88_1.jpg)
Overview
HQ Location
United States
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Year Founded
2013
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Company Description
Roambee offers verifiably better supply chain visibility & intelligence on demand, for on-time, in-full, in-condition delivery of shipments and assets anywhere in the world.
Roambee’s innovative AI-powered platform, and end-to-end monitoring solutions, deliver curated and highly accurate supply chain signals built on item-level, firsthand IoT sensor data and non-sensor inputs.
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Case Studies.
Case Study
Real-Time Visibility Boosts Quality Compliance in Chocolate Supply Chain
A renowned chocolate and confectionary company was facing significant challenges in its supply chain. The company's primary goal was to monitor their active cooling Full-Truckload (FTL) transport, which moved chocolates from the manufacturing unit to depots using domestic transportation. This process involved several transporters, making quality compliance both essential and complex. The company was struggling with two main challenges. The first was a breach in quality compliance. The company noticed spoilage in some of their consignments, but the data from their 3PLs was delayed, second-hand, inaccurate, and unverifiable. Many packages were reaching the destination spoiled due to unchecked temperature excursions. The second challenge was the lack of actionable information. The company depended on vendors and transporters for data, but the data was often delayed, inaccurate, and sometimes even inaccessible. The company was unable to make timely decisions due to the lack of real-time visibility on the shipment’s location and condition.
Case Study
Revamping Ice Cream Supply Chain Quality Compliance with Roambee
The case study revolves around one of the world's largest ice cream manufacturers, with a yearly revenue of over $5.5 billion in the South Asia market alone. The manufacturer was grappling with challenges in its ice cream supply chain, particularly in maintaining the storage temperature between -18°C and -25°C. The company operates 20 plants in India, serving around 700 million customers with a diverse product portfolio. Each of these plants has several large cold chain-specific warehouses that need to comply with stringent norms. The company also has warehouses in distribution centers that need to adhere to the same compliance norms. The manufacturer was using a passive cold chain monitoring system, which was leading to inefficient operations and product spoilage. The passive system, enabled by temperature data loggers, was creating product loss at two places: warehouses and during transit. The company was also dealing with inefficient operations due to a lack of data repositories and fragmented temperature monitoring duties.