Posuro Lozori applies predictive analytics on your company's idle cash and turns the data into an actionable investment recommendation, without needing to hire your own data team.
开始免费分析许多西班牙中小企业在决定下一步行动时,将资本储备保留在不良账户中。这种等待确实有机会成本,尽管它很少反映在每月的资产负债表中。
Manual analysis of investment scenarios requires time, technical knowledge and access to tools that few mid-sized companies can justify internally.通常的结果是无所作为,不是因为缺乏兴趣,而是因为缺乏基础设施。
Posuro Lozori replaces that gap with a data intelligence engine that processes the financial context of your company and translates the complexity into a concrete and justified decision.
The system combines financial data ingestion, predictive modeling and recommendation execution in a continuous flow, designed to reduce friction between analysis and action.
It connects your company's financial sources — existing accounts, movements and positions — to build an up-to-date snapshot of your available liquidity.
这些模型根据这些数据评估风险和盈利能力场景,权衡用户声明的时间范围和风险承受能力。
生成的产品组合只需一步即可激活,无需额外表格或手动仪器配置。
我们不要求客户信任黑匣子。 Each recommendation generated by Posuro Lozori can be broken down into the input factors that originated it: historical volatility, correlation between assets, and stated cash flow projection.
A distribution company with quarterly liquidity spikes uses Posuro Lozori to identify how much of its surplus can be allocated to short-term instruments without compromising daily operations.
该模型会随着收款预测的变化调整建议,防止资本保留时间超过必要的时间。
An alternative financing fintech integrates Posuro Lozori to cross-reference its loan portfolio with market signals and detect changes in the risk profile of its positions earlier.
团队会收到连续的读数,而不是定期进行手动检查,该读数会优先考虑哪些位置需要首先关注。