Tensor AnalyticsTM
GrepEye TM v2.0, now available

Forecastdemand.
Decidewithconfidence.

GrepEye is the operational intelligence platform most ERPs don't have. Run ML forecasting, S&OP, supply netting, and exception workflows, or skip the clicks entirely and orchestrate the whole cycle through a chat with built-in AI agents, where every action is human-approved before it lands.

0ML model families, ensemble-blended
0Capability pillars in one platform
0/7AI agents on call, human-in-loop
0.0%Platform uptime SLA
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Built for practitioners

Used by demand planners, supply chain managers, S&OP leads, and operations leaders who need one agreed number, and the audit trail to prove it.

SAP
Oracle NetSuite
Microsoft Dynamics
SFTP
REST API
Webhooks
S3
open API
CSV
Snowflake
The structural problem

Most planning teams balance service levels against inventory costs without a model that shows the tradeoff at item level.

Demand is planned in spreadsheets. Sales and supply chain argue about whose forecast to use. Supply plans don't reflect the latest demand. Exceptions surface too late. The plan keeps changing after production has started. There's no audit trail for who changed what, and no single view of forecast, supply, and gaps.

ERPs don't fix this, they weren't built for planning. BI tools show what happened, not what to do next. Enterprise IBP suites cost millions and take years to deploy. The result is gut-feel buffers, rigid policy rules, and S&OP cycles that take days because each team is reconciling a different version of the truth.

Forecast vs. realityLive signal
MAPE
5.2%
BIAS
+0.4%
HORIZON
13 wk
The GrepEye platform

From raw data to locked plan, in one connected platform.

Eight capability pillars share a single operational data model. Run the whole cycle through clicks, or skip the clicks and orchestrate through chat with AI agents.

Explore the platform →
Platform flow8 pillars
01
Data Infrastructure
02
Rules & Automation
03
Analytics & Dashboards
04
Integrated Business Planning
05
AI Agent Orchestration
06
Forms & Data Collection
07
Access Control & Admin
08
Config Packs
Selected work

Three planning problems GrepEye was built to solve.

These are the patterns we see most often. If any of them sound familiar, GrepEye addresses the root cause, not just the symptom.

All case studies →
Manufacturer · 5,000 SKUs
The problem

S&OP cycle taking three days in Excel

The outcome

Replaced the forecast spreadsheet end-to-end

A manufacturer running 5,000 SKUs across 12 warehouse locations was spending three days per S&OP cycle reconciling demand signals. GrepEye replaced it with the S&OP console: ensemble-blended ML forecasts, demand planning grid, sequential approval gates, and a cycle lock that froze the plan after exec sign-off.

01
  • Cycle time cut from three days to four hours
  • Sequential gate enforcement, no more arguing over whose number
  • Cycle lock freezes the plan, nothing changes after sign-off
Distributor · inventory team
The problem

Safety stock set by gut feel

The outcome

Supply netting + exception intelligence

A distributor was setting safety stock manually. One-click supply netting recomputed net supply from approved demand in seconds. Exception intelligence auto-flagged demand-supply gaps over 10% as soon as netting ran, long before they became write-offs.

02
  • Net supply requirement recomputed per SKU per period
  • Gap exceptions auto-raised with severity scoring
  • Reorder points tied to actual lead times
Manufacturer · planning team
The problem

Three tools, no single source of truth

The outcome

Consolidated into one operational data model

A planning team was running a Python forecasting model, a shared spreadsheet, and manual ERP entries. GrepEye replaced all three with structured datasets, an ML ensemble leaderboard, and an audit trail covering every override, approval, and import, actor and timestamp attached.

03
  • Single operational data model across the planning cycle
  • Full audit trail with actor + timestamp per action
  • AI agents handle routine ops through chat, human-in-loop
How implementation runs

From first data upload to live plan in eight weeks.

Most planning software takes months to deploy. GrepEye is structured for an 8-week pilot that ends with a real, exported inventory policy, not a demo.

W1–2

Data onboarding

Connect ERP/SFTP sources via connectors or import CSVs through Import Studio. GrepEye validates, deduplicates, and builds the operational data model.

Deliverable

Validated dataset + working connectors

W3–4

Forecast baseline

Run ML ensemble (multiple model families) per SKU. Review MAPE/WMAPE on the leaderboard. Configure exception thresholds and alert rules.

Deliverable

First ensemble run + accuracy diagnostics

W5–6

First S&OP cycle

Run the full S&OP console: Demand Review → Supply Review → Exec S&OP. Try scenario planning. Lock the cycle. AI agents handle routine triage in chat.

Deliverable

First locked cycle + audit trail

W7–8

Automation + integration

Activate rules engine, configure webhooks to ERP, generate first board pack. Train broader team on chat-based orchestration. Full pipeline tested end-to-end.

Deliverable

Live automation + ERP write-back

Ready when you are

Move from spreadsheets to decisions.

Book a 45-minute walkthrough. We'll run the full GrepEye platform on a representative slice of your data, connectors, ML ensemble, S&OP console, scenario planning, and AI agents in chat. No slideware.