Loading of containers on to the deck of a container ship lacks correct data of container weight. This causes less than optimum load balance, risk of containers breaking loose and dropping to the sea, even capsizing. Further, the full capacity of the vessel can't be utilized with unreliable load weight data.

Grip, a company that serves e-commerce businesses shipping perishable goods across the U.S., processes hundreds of thousands of orders through its platform each month. The company's challenge was to process and interpret a variety of data points to make the most effective shipping recommendations. The data came from multiple sources including Shopify, ShipStation, different warehouse management systems, APIs for weather data, carrier pricing and delivery time tracking, and customer support systems like Zendesk and Dynamics. The company needed to consolidate this data to suggest the best carrier, ideal refrigerant and insulation, packaging and material, and other shipping logistics. Additionally, once a delivery was made, Grip needed to publish analytics so customers could see orders that went out, where they went, areas of the country that are bottlenecked, and areas of the country that are performing well.

Jones Performance, a rapidly growing company over the last 25 years, was facing a significant challenge in streamlining their shipping process to keep pace with the increasing demand. The company's shipping operations were not scaling at the same rate as the company's growth, leading to inefficiencies and higher costs. The need to maintain their existing carrier relationships while keeping shipment costs low to stay competitive was a critical issue. The company was in dire need of a solution that could help them save time, money, and labor in their shipping operations.