Riskpulse - Supply Chain Performance & Multi-factor Prescriptive Analysis Software
Identifying supply chain risk dynamic risks and planning around them has been a highly-manual process that often misses the mark. Costs escalate, shipments are delayed or damaged, and clients become frustrated. Identifying predictable risk ahead of time and managing those risks leads to tangible economic benefit. At Riskpulse, we use machine learning to combine multiple sources of risk along every fixed asset, lane and load to get one set of actionable results. Our prescriptive approach not only presents signals around risks but offers recommendations for mitigation. By converting disparate risk types into Risk Scores, we create a common language for risk, simplifying the communication of issues with diverse causes.
Deliver Loads On Time and In Full
Increase performance and client satisfaction using the most advanced machine learning techniques on the market.
RiskPulse OnTime:
Meet Delivery Windows
Riskpulse OnTime calculates the probability of delivering early, late, or within a specific delivery window and returns the top risk reasons for a potential missed delivery time, together with a risk score. Using risk scores and risk reasons, shippers, 3PLs, brokers, and carriers are able to improve service performance, acting on up to 6 times more ‘at risk’ shipments than before the solution was deployed.
RiskPulse InFull:
Protect Cargo
Riskpulse InFull is configured for each cargo’s specific environmental tolerances and helps catch overspend on temperature-controlled freight (PFF/PFH, protect from freeze, protect from heat) while staying within quality thresholds. Replace seasonal lane calendars with dynamic recommendations for equipment types and identify shipments that may be compromised.
RiskPulse OverSee:
Facilities Risk Awareness
Riskpulse OverSee calculates the risks due to external factors up to 2 weeks out. Risk profiles can be customized per site, per region, or per type. Email, SMS and voice alerts are sent when tolerances are reached. Risk scores for physical assets are calculated across 3 categories: Environment (weather), Social (crowds, unrest, and other human factors), and Infrastructure (utility outages, construction, etc.).