Foursolutions.
Oneconnected
opsplatform.
GrepEye doesn't replace your ERP. It sits alongside it, pulling data via connectors, running ML forecasting, S&OP, and supply netting, and pushing actions back through webhooks. AI agents orchestrate the whole cycle through chat, with human-in-loop approval on every write.
Four solutions that replace the entire spreadsheet-to-ERP chain.
Each solution addresses a specific failure point in the planning workflow. Together, they cover data, forecasting, S&OP, and automation, with AI agents on top that can run the whole cycle through chat.
Operational data infrastructure
Structured datasets for any operational domain. Import Studio with column mapping, staging validation, and idempotent imports. Connectors to ERP, SFTP, S3, and APIs. Entity deduplication via identity rules. Version-controlled records with full change history.
- Datasets for items, orders, inventory, capacity, suppliers, customers
- Import Studio, CSV/Excel with auto-suggested column mapping
- Connectors, ERP, SFTP, S3, REST APIs with sync health monitoring
- Entity deduplication via identity rules
- Exports with background generation for large files
ML demand forecasting, ensemble-blended
Multiple statistical and ML model families run per SKU, blended into an ensemble. The ensemble uses accuracy-based weighting, best-performing models weighted higher automatically. Outputs include statistical qty, confidence low, confidence high.
- multiple model families, all three per SKU
- Ensemble blending with accuracy-based weighting
- Accuracy leaderboard, see which model wins per product family
- MAPE, WMAPE, bias tracking per SKU per model run
- Planning versions separate baseline from consensus
S&OP console + exception intelligence
Sequential gate enforcement: Demand Review → Supply Review → Exec S&OP. Approve or reject each gate with meeting notes. Lock the cycle once all gates clear, freezes the plan permanently. Exception intelligence auto-flags anomalies (2σ variance), supply gaps (>10% of demand), and connector failures.
- Sequential gate enforcement, supply unlocks only after demand approved
- Cycle lock freezes the plan permanently after exec sign-off
- Anomaly detection flags demand variance exceeding 2σ from history
- Supply gap exceptions auto-raised when gap > 10% of demand
- Connector health monitoring raises supply risk exceptions
Rules, automation, and AI agents
No-code rule definitions with triggers, conditions, and actions. Alert rules on any metric. Append-only ledger for every operationally significant event. On top of all that: AI agents that orchestrate the entire planning cycle through chat, with human-in-loop approval on every write action.
- No-code rules, triggers, conditions, actions, simulation mode
- Alert rules on any metric or field (inventory below safety stock, MAPE above 15%)
- Append-only ledger with idempotency keys for reconciliation and audit
- AI agents run forecasts, net supply, raise exceptions through chat
- Human-in-loop, every agent write action needs approval before landing
Spreadsheets and BI tools show what happened. GrepEye runs what happens next.
The spreadsheet-to-ERP chain is broken. GrepEye replaces every link, data, forecasting, S&OP, automation, and audit, 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
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, 2σ anomalies, >10% gaps, connector failures
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
From data audit to published inventory policy: a structured onboarding for planning teams.
A structured onboarding designed for manufacturing planning teams. Not a generic SaaS implementation, a planning workflow alignment.
Data onboarding
Connect ERP/SFTP sources via connectors or import CSVs through Import Studio. GrepEye validates, deduplicates entities, and builds the operational data model. Column mapping is auto-suggested.
- Import Studio with staging validation
- Connectors to ERP, SFTP, S3, APIs
- Entity deduplication via identity rules
Model setup
Run the ML ensemble (multiple model families) per SKU. Review the accuracy leaderboard. Configure exception thresholds, alert rules, and approval workflows.
- Ensemble leaderboard per product family
- Exception thresholds (2σ, 10% gaps)
- Alert rules on any metric
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, you approve every write.
- Sequential gate enforcement
- Scenario planning as sparse overlays
- Cycle lock freezes the plan
Automation + integration
Activate the rules engine, configure ERP webhooks, generate the first board pack. Train the broader team on chat-based orchestration with AI agents. Full pipeline tested end-to-end.
- Rules engine with simulation mode
- Webhooks to ERP on any data event
- Board pack auto-generation
Planning becomes a management lever, not a spreadsheet exercise.
ROI comes from three places: reduced planning time, lower inventory carrying costs, and fewer stockouts. Most teams see the biggest early gain from time reduction.
Data, rules, analytics, IBP, AI agents, forms, access, config packs, all sharing one operational data model.
multiple model families. Best-performing model per product family weighted higher automatically.
Structured pilot scope. Ends with a tested ERP integration, not a demo.
Multi-workspace isolation with full audit trail on every action.
Figures are indicative based on representative engagement patterns and AI technology research over typical 12-month periods. Actual results depend on baseline performance, data quality, implementation scope, and organisational factors.
What would GrepEye save your team?
Answer three questions. Get a rough estimate of cycle time and cost savings. No email required to see the result.
How many SKUs do you plan?
This includes all finished goods, components, and spare parts you actively forecast.
See how GrepEye solves your planning problem.
Tell us what your cycle time, forecast accuracy, or inventory position looks like today. We'll show you exactly what changes with GrepEye, using your own data.