Predictive Analytics
Forecast demand, detect risk, and act with confidence.
We build forecasting and anomaly-detection systems that combine historicals, causal drivers, and human-in-the-loop review—so ops and finance teams make better, faster calls.
Forecast Accuracy (MAPE)
8.4%
↓ from 18.9%
Anomaly Capture
87%
Recall on major incidents
Lead Time
4.2 wks
↑ from 2.1 wks
Unified signals
Merge POS/ERP, web analytics, pricing, promos, macro indicators.
Right model for the job
Classical + ML + LLM-enhanced feature pipelines—selected via evals.
Guardrails & tests
Backtests, bias checks, drift monitors, and rollback playbooks.
Operationalized
Batch + streaming, SLAs, and alerting wired into your tools.
Live dashboards
Operational visibility across demand, anomalies, churn, and revenue—wired into your stack.
Demand Forecast (next 12w)
Volume (units)
Accuracy breakdown
All itemsAfter 8.4 / Before 18.9
Top SKUsAfter 6.9 / Before 14.3
Long tailAfter 11.7 / Before 25.1
Anomalies & Alerts (last 12w)
Flagged spikes
Response outcomes
True positivesAfter 87 / Before 65
Time to diagnose (min)After 12 / Before 45
False alarmsAfter 8 / Before 22
Churn & Revenue Projection
Churn rate (%)
Projected MRR ($M)
76%
At-risk captured
64%
Upsell conversion
91%
Forecast coverage
How we deliver
A proven path from prototype to production with measurable lift.
Data layer
Ingest POS/ERP/GA4/CRM + external drivers (weather, macro, promos).
Modeling
Blend time-series, tree models, and LLM-assisted features. Auto-select via evals.
Evals & guardrails
Backtests, bias, drift, and regression tests—on each release.
Ops & rollout
CI/CD for models, feature store, batch + streaming, alerting, and SLAs.
Fits your stack
Plug into your data warehouse, event bus, and business tools.
Snowflake
BigQuery
Redshift
Databricks
GA4
Salesforce
Shopify
Segment
Amplitude
Custom APIs
Ready to pilot Predictive Analytics?
We’ll ship a working slice in weeks, not months.