I-Corps: Real-Time Monitoring with Predictive Intelligence for Efficient Warehouse and Outdoor Inventory Management

I-Corps项目的更广泛影响/商业潜力支持提高库存和仓库管理业务的效率，其成本合理的技术创新能够实时监控货物，而无需静态通信基础设施。该项目承诺通过从收集的数据中提取信息，并以当前商业工具的一小部分成本提供时间关键的见解，从而增强此类操作。这项监测创新将有可能成为市场上第一个能够在户外环境中持续监测商品的解决方案。此外，监测创新将有可能成为低价值商品的第一个经济实惠的监测解决方案。这项创新有望在国防和建筑领域产生重大影响。但实际上，它有可能对美国各行业复杂的库存和仓库管理业务的成本和效率产生积极影响。I-Corps团队将通过解决此类操作中存在的潜在低效率问题，在广泛的实施方案中进行发现和创新。这个I-Corps项目探索了实时监控、预测和廉价创新的市场潜力，以支持库存和仓库管理操作。一个不需要静态通信基础设施的现实实时监控解决方案在技术上是一项复杂的努力，超出了商业跟踪和监控工具的能力。提出的创新优化了操作和信息流，以及对上游（推）和下游（拉）流程和整体系统性能的响应。随着大型数据集的融合，创新的人工智能方面会自动识别效率低下和瓶颈，并重新评估预测和系统决策，考虑到最新事件、数据不确定性和多个局部最优。这个I-Corps团队计划调查创新的市场潜力，验证客户需求以及创新如何缓解这些需求，并辨别可持续的商业模式。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project supports improving the efficiency of inventory and warehouse management operations with a cost-affordable technology innovation capable of monitoring goods in real-time without the need for static communications infrastructure. The project promises to enhance such operations through the extraction of information from the collected data and the provision of time-critical insights at a fraction of the costs of current commercial tools. The monitoring innovation will potentially become the first solution in the market capable of continuously monitoring goods in outdoor environments. In addition, the monitoring innovation will potentially become the first cost-affordable monitoring solution for low-value goods. The innovation promises a primary impact in the sectors of defense and construction. In reality, though, it offers the potential to positively impact the cost and efficiency of complex inventory and warehouse management operations across US industry sectors. This I-Corps team will cross-pollinate discovery and innovation across the broad spectrum of implementation scenarios by addressing the existing latent inefficiencies in such operations.This I-Corps project explores the market potential of the real-time monitoring, predictive, and inexpensive innovation in support of inventory and warehouse management operations. A realistic real-time monitoring solution without the need for static communications infrastructure is a technically complex endeavor beyond the capabilities of commercial tracking and monitoring tools. The proposed innovation optimizes operations and information flows, and the response to upstream (push) and downstream (pull) processes and overall system performance. As large datasets are fused the artificial intelligence aspect of the innovation automatically identifies inefficiencies and bottlenecks, and reassesses forecasts and system decisions that account for latest events, data uncertainties, and multiple local optima. This I-Corps team plans to investigate the market potential of the innovation, validate customer needs and how the innovation can alleviate such needs, and discern sustainable business models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.