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Revolutionizing Construction Equipment Rental: A Case Study on ProsRent and ENO8 - ENO8 Industrial IoT Case Study
Revolutionizing Construction Equipment Rental: A Case Study on ProsRent and ENO8
ProsRent, a startup that won the 'Best Financial Opportunity' and 'Best Pitch' at CodeLaunch 2016, aimed to revolutionize the way construction professionals source and rent heavy equipment. In the construction industry, project managers and contractors typically rent heavy equipment from supply companies. However, predicting inventory can be challenging, and finding the required equipment at the right time and place can be a hassle. If the preferred vendor doesn't have the required equipment, it results in wasted time and money in searching for it, often leading to higher costs due to non-preferred rates and increased delivery costs if the vendor is located far from the job site. Suppliers, on the other hand, desired access to a wider base of trusted renters that they didn't have to vet themselves and wanted to offer dynamic rental pricing based on demand and availability in their market. ProsRent's challenge was to produce a minimum viable product that was fast and first to market but also strong enough to engender loyalty and repeat business from the target market.
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Revolutionizing ER Experience with AI: A TeleMedCo Case Study - ENO8 Industrial IoT Case Study
Revolutionizing ER Experience with AI: A TeleMedCo Case Study
TeleMedCo, a startup formed by a team of doctors and business professionals, identified a significant inefficiency in the healthcare industry. The emergency room (ER) experience was found to be massively expensive and often inefficient, with 50-80% of ER visitors being in non-critical condition. This led to doctors having to prioritize treatment, running tests, and evaluating medical histories, which could result in slow or incorrect diagnoses. The challenge was to modernize, streamline, and expedite the ER experience for both doctors and patients. However, to secure buy-in from hospitals and doctor groups, TeleMedCo needed a proof-of-concept that caregivers could interact with and use. The team lacked software, hardware, or artificial intelligence expertise, and thus required a technology partner to develop a diagnosis solution and integrate it into a working prototype for demonstration purposes.
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