01
Supply chain blindness
No early warning system for supplier failures. Disruptions discovered a week too late, when the damage is already booked.
$2–4M
annual disruption impact
Predictive intelligence · Built for volatile markets
Predict supply chain disruptions before they cost millions.
85% accurate forecasts. Real-time risk alerts. Deployed alongside your existing stack — no data science team required.
SOC 2 Type II·99.9% uptime·Snowflake · BigQuery · SAP
The cost of waiting
You don't have a data problem. You have a timing problem.
02
Forecast accuracy failure
Legacy forecasts miss by 28–35%. The result is excess inventory, stockouts, or both — in the same quarter.
$3–5M
annual inventory waste
03
Manual, reactive planning
40% of your team's week goes to rebuilding spreadsheets instead of strategy. Decisions are slow, late, and brittle.
2,000+
strategic hours lost
The Predicta advantage
See disruption before it hits.
01
85% accurate forecasts
Specialized for high-frequency, volatile data. Real benchmarks, not promises.
02
Real-time alerts
Supply chain anomalies detected in minutes — not weeks — and routed to the right operator.
03
Plug & play integration
Deploy in days alongside Snowflake, BigQuery, AWS, SAP, and Oracle. No rewiring required.
0%
Forecast accuracy
0%
Earlier signals
0.0%
Uptime
Platform
One platform. Every signal that matters.
Integrations
Deploy next to your entire stack.
Predicta integrates with your existing warehouse, ERP, and analytics infrastructure. No rewiring. No multi-quarter migration.
Snowflake
BigQuery
AWS Redshift
SAP
Oracle
Databricks
Azure
Custom sources
Where it lands
Built for the teams who absorb the volatility.
Use case · 01
Optimize your supply chain for volatility
Forecast lead times and supplier failure risk across your full network. Replace 40 spreadsheets with one signal.
85%
forecast accuracy
−$3M
inventory waste
+15%
turns
Use case · 02
Hedge tail risk with real-time intelligence
VaR models tuned for fat-tailed, high-frequency data. Operators get actionable signal 1–2 hours earlier.
+35%
VaR accuracy
1–2h
earlier signals
99.9%
uptime
Use case · 03
Forecast demand. Eliminate waste.
SKU-level demand models with explicit confidence bands. Cut markdowns and stockouts in the same quarter.
82%
accuracy
−15%
markdowns
+18%
turns
ROI calculator
Quantify the cost of the status quo.
$250M
70%
2,000
20%
Projected outcome
$4.69M
Estimated annual savings
Current waste$4.69M
Projected with Predicta$4.69M
+15%
accuracy uplift
11 mo
payback period
59%
year-1 ROI
Demo · 30 minutes · No deck
Ready to see disruption before it hits?
Book a personalized demo. See your data in Predicta. Walk away with a quantified savings estimate.