Boodskapper

About the offering

BoodsKapper makes a "virtual office assistant" that can assign the right work order to the right technician, interact with the customer, and provide conversational reporting. BACKGROUND: BoodsKapper began with the goal of using AI and machine learning to improve the public housing system. The federal Housing Choice Voucher Program plays a critical role in helping to address housing needs for extremely low-income households. Its most important advantage is that vouchers give recipients the freedom to choose the kinds of housing and the locations that best meet their needs. As a consequence, many voucher recipients live in healthy neighborhoods that offer social, educational, and economic opportunities for themselves and their children. PROBLEM: 1) Public Housing Authorities are resource constrained. Families wait for months for the inspection process to be completed before they can move into a home. This adds to the problem of homelessness in America.2) Landlords in turn wait for months, losing rent in the process. This aggravates the problem by reducing the availability of affordable housing in many markets. 3) Currently, many housing authorities don’t provide call center based support at scale. People often need to drive to the Housing Authorities to meet with their caseworkers. This is needless pain. SOLUTION: We use advanced work optimization techniques to improve inspector efficiencies. For example, our client, the Dallas Housing Authority reported a 30% increase in productivity, 20% in cost savings, and improved engagement with landlords and clients. Our bot provides customer service for both the tenants and the landlords and we believe it leapfrogs generations of technology. Managers get real-time visibility into operations.

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