GrepEye is an operational intelligence platform. Eight capability pillars share a single operational data model, datasets, rules, dashboards, IBP, AI agents, forms, access control, and config packs. Run the whole cycle through clicks, or skip the clicks and orchestrate through chat.
Every pillar shares a single operational data model. Run the whole cycle through clicks, or skip the clicks and orchestrate through chat with AI agents. No stitching between tools. No shared spreadsheets.
Structured datasets for any operational domain, items, orders, inventory, capacity, suppliers, customers. Import Studio, connectors, entity dedup, version-controlled records with full change history.
No-code rule definitions with triggers, conditions, and actions. Alert rules, append-only ledger, projections. Version-controlled rules with simulation mode, test before activating.
Filtered views, multi-widget dashboards, business metrics with historical snapshots. Accuracy metrics (MAPE, WMAPE, bias) per SKU per model. Ensemble leaderboard showing which models win per product family.
Planning cycles, ML demand forecasting (multiple model families), demand planning grid, supply netting, supply review, scenario planning, S&OP console with sequential gates, exception intelligence, IBP reports.
Skip the clicks. Orchestrate the entire planning cycle through a chat with built-in AI agents, run forecasts, net supply, raise exceptions, generate board packs. Every action is human-approved before it lands.
Build structured data entry forms on top of any dataset. Field types, validation rules, conditional logic. Share with internal or external users. Submissions write directly into dataset records.
Role-based access control with fine-grained permissions. Multi-workspace isolation. Full audit trail on every action. In-app notifications for rule triggers, approvals, exceptions, and system events.
Workspace-level settings (data retention, feature flags, compliance toggles). Config packs, bundled configuration templates that can be imported to bootstrap a new workspace in minutes.
Hover or tap a pillar to see exactly what's inside, the data that flows in, what GrepEye does with it, and what comes out the other side.
Structured datasets for any operational domain, items, orders, inventory, capacity, suppliers, customers. Define fields with types, validations, dropdowns, and field-level permissions. Set up relationships between datasets (foreign keys, lookups). Version-controlled records with full change history.
Skip the clicks. Built-in AI agents can run forecasts, net supply, raise exceptions, generate board packs, override SKU-period cells, and lock cycles, all through natural language. Every action is human-approved before it lands. The agent proposes, the planner disposes.
Agents have read access to any dataset, view, projection, or dashboard. They can post ledger events, raise exceptions, and fire webhooks, but every write action needs your approval first.
Proposed 3 actions. Awaiting your approval on each:
Each use case addresses a specific failure point in the planning workflow. Together, they cover forecasting, S&OP, supply, scenarios, automation, and audit.
Multiple statistical and ML model families run per SKU, ensemble-blended with accuracy-based weighting. The leaderboard shows which model wins per product family. Planners see confidence bands, not just point forecasts.
Exception intelligence auto-flags demand variance exceeding 2 standard deviations from history, supply gaps over 10% of demand, and connector failures. Severity scoring tells the team where to look first.
The S&OP console enforces sequential gates: Demand Review unlocks Supply Review, which unlocks Exec S&OP. Lock the cycle once all gates clear. The plan freezes permanently. No more post-sign-off edits.
One-click supply netting computes net supply per SKU per period from approved demand. Idempotent on re-run. Supply gap exceptions auto-raised with critical, warning, or minor severity.
Scenario planning creates sparse overlays on a base planning version. Override SKU-period combinations without touching the baseline. Compare scenarios side by side. Promote one to consensus.
Skip the clicks. AI agents run forecasts, net supply, raise exceptions, generate board packs, and lock cycles through natural language. Every write action is human-approved before it lands.
IBP board pack reports cover cycle performance, forecast accuracy, and supply position. Background generation with a download link. No more manual slide decks for the executive review.
Every create, update, delete, and approve is logged with actor, timestamp, and resource ID. The append-only ledger captures every operationally significant event with idempotency keys for reconciliation.
The spreadsheet-to-ERP chain is broken. GrepEye replaces every link with one connected platform. AI agents sit on top to handle the routine work through chat.
Spreadsheets
Manual / 1 model
BI tools
Static
GrepEye
Multiple model families, ensemble-blended
Spreadsheets
Manual
BI tools
Static
GrepEye
Auto per SKU, accuracy-weighted
Spreadsheets
BI tools
GrepEye
Sequential gates: Demand → Supply → Exec
Spreadsheets
None
BI tools
None
GrepEye
Freezes plan permanently after sign-off
Spreadsheets
Manual formulas
BI tools
Manual
GrepEye
One-click, idempotent, per SKU per period
Spreadsheets
Manual review
BI tools
Manual review
GrepEye
Auto, variance, gaps, connector health
Spreadsheets
Copy of file
BI tools
Limited
GrepEye
Sparse overlays on base version
Spreadsheets
None
BI tools
Limited
GrepEye
Every action, actor + timestamp, queryable
Spreadsheets
Macros
BI tools
None
GrepEye
No-code rules + append-only ledger
Spreadsheets
None
BI tools
None
GrepEye
Chat-based orchestration, human-in-loop
Spreadsheets
Manual entry
BI tools
Manual export
GrepEye
Connectors + webhooks, scheduled or real-time
Spreadsheets
Months
BI tools
Months
GrepEye
8 weeks
Security isn't a feature toggle. It's structural. Multi-workspace isolation, fine-grained RBAC, full audit trail, and an append-only ledger come standard.
Each customer or business unit is a separate workspace. Users can belong to multiple workspaces with different roles in each. No data crosses workspace boundaries.
Fine-grained permissions scoped to datasets, IBP, forecasting, demand, supply, cycles, scenarios, audit, and admin. Assign roles to users per workspace.
Every create, update, delete, and approve action is logged with actor, timestamp, resource ID, and event type. Queryable audit log for compliance and investigation.
Every operationally significant event posts a ledger entry with idempotency keys. Transaction definitions categorize and structure event types. Full queryable history for reconciliation.
Sync failure rates are monitored automatically. High failure rates surface as supply risk exceptions, so you know before the data goes stale.
Workspace-level settings include data retention, feature flags, and compliance toggles. Config packs bundle configuration templates to bootstrap a new regulated workspace in minutes.
Data encrypted in transit (TLS 1.3) and at rest (AES-256).
Workspace-level data residency controls for regional compliance.
Configurable data retention policies per workspace.
Queryable audit log exportable for compliance review.
GrepEye sits alongside your ERP. Connectors pull demand and operational data in on schedule or on demand. The rules engine fires webhooks on any data event. Sync health is monitored automatically, high failure rates surface as supply risk exceptions.
The Ingest API lets you push items, locations, lead times, and demand programmatically. Create demand snapshots without CSV uploads. Scoped API keys with rotation and audit log.
curl -X POST \
https://api.grepeye.ai/api/ingest/demand \
-H "Authorization: Bearer $GREPEYE_KEY" \
-H "Content-Type: application/json" \
-d '{
"item_key": "SKU-4471",
"location_key": "WH-03",
"date": "2026-07-08",
"quantity": 1820
}'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.
Connect ERP/SFTP sources via connectors or import CSVs through Import Studio. GrepEye validates, deduplicates, and builds the operational data model.
Validated dataset + working connectors
Run the ML ensemble per SKU. Review accuracy on the leaderboard. Configure exception thresholds and alert rules.
First ensemble run + accuracy diagnostics
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.
First locked cycle + audit trail
Activate rules engine, configure webhooks to ERP, generate first board pack. Train broader team on chat-based orchestration. Full pipeline tested end-to-end.
Live automation + ERP write-back
Can't find what you're looking for? Ask us directly.
GrepEye covers the same IBP cycle, demand forecasting, supply netting, S&OP, scenario planning, but ships it as an operational data platform with rules, automation, and AI agents on top. Enterprise IBP suites cost millions and take years to deploy. GrepEye is structured for an 8-week pilot and ends with a tested ERP integration. You're not paying for an enterprise sales motion; you're paying for a working platform.