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Predien works with operational data your systems already produce: ERP, CRM, warehouse management, workforce and staffing tools, billing. Data loads on a schedule today. Direct connectors into operational systems are currently rolling out.

Scattered inputs are organized into the categories your business uses. Where two systems define the same thing differently, your forward deployed analyst resolves it. Your team does not clean or reformat anything first.

Four weeks. Your forward deployed analyst handles the data mapping, configuration, and metric baselines, so you provide business context rather than technical setup.

Companies generating $10M to $500M in revenue, with a current focus on warehousing, 3PL and logistics, and manufacturing alongside. Built for C-suite, directors, VPs and functional leads who need decisions.

Specify a target outcome, such as a margin percentage, and the model works backward to the input changes required to reach it, like a headcount level or a cost reduction.

Five engines: Linear Trend, Exponential Growth, Seasonal Pattern, ARIMA, and an Ensemble blending the other four, weighted by fit against your own history. Selected automatically, and your analyst can override it.

If a scheduled load has not arrived, check the source file is where the load expects it and the format has not changed. Contact [email protected] if the issue continues.

Data loads on the schedule agreed during onboarding, typically weekly. If a load is overdue, contact your analyst. Refreshes are atomic, so a partial state never reaches your dashboard.

A curated weekly briefing. The model detects twenty to thirty findings. Most are noise. Your analyst confirms which are real, adds operating context, and publishes the five to seven worth acting on.

Each KPI card shows the current value, percentage change against the prior period, a trend sparkline, and a colour-coded status. The business state reads in under three minutes.