ML demand forecasting
multiple statistical and ML model families run per SKU. Ensemble blends with accuracy-based weighting, best models weighted higher automatically. Accuracy leaderboard shows which model wins per product family.
Learn moreIndustriesManufacturing focus
Builtfortheteams
whoplanat
theitemlevel.
GrepEye is purpose-built for teams managing complex SKU counts, multiple stocking locations, and demand patterns driven by external events the ERP can't see. Four manufacturing sub-verticals, each with its own demand fingerprint, and the same connected ops platform underneath.
01
Discrete manufacturing
02
Pharma & medical devices
03
Food & beverage
04
Consumer goods & distribution
Sub-verticals
GrepEye across manufacturing sub-verticals.
Purpose-built for manufacturers, from discrete manufacturing to process industries managing multi-location inventory. Each sub-vertical has its own demand fingerprint and planning constraints.
01
Discrete manufacturing
Complex BOMs, multi-level assemblies, multi-plant networks. GrepEye handles the item-location granularity needed to plan across plant and warehouse combinations without collapsing important detail into aggregate noise.
Capabilities
- ML ensemble per SKU per location
- S&OP console with sequential gates
- Scenario planning as sparse overlays
- Cycle lock freezes the plan
Common signals we see
- Demand varies sharply by item and location
- ERP forecasts collapse to aggregate, masking item-level signal
- Safety stock set infrequently and manually
- Consensus planning done in shared spreadsheets
02
Pharma & medical devices
Lot traceability, shelf-life constraints, and regulated planning workflows. ML forecasting with full audit trail and approval routing before anything reaches the ERP. Every override, approval, and agent action is logged.
Capabilities
- Lot-level traceability via ledger
- Shelf-life aware inventory policy
- Regulated approval workflow
- Full audit trail per action
Common signals we see
- Shelf-life and lot expiry drive inventory risk
- Regulated approval workflow required for plan changes
- Demand signals from tenders and contracts outside the ERP
- Audit trail mandatory for overrides
03
Food & beverage
Perishability, seasonality, and short-shelf-life SKUs. Specialized models handle intermittent demand for slow movers; ML models capture seasonal peaks that aggregate forecasts miss. Ensemble blending picks the right model per product family.
Capabilities
- Specialized models for slow movers
- ML models for seasonality
- Promotion-aware forecasting
- Perishability-constrained policy
Common signals we see
- Perishability constrains inventory policy
- Strong seasonal patterns per SKU
- Promotions and events distort baseline demand
- Slow movers and spare parts need separate treatment
04
Consumer goods & distribution
Multi-channel demand, long tail of SKUs, and lead times that move. One-click supply netting recomputes net supply from approved demand. Exception intelligence auto-flags gaps over 10% of demand before they become write-offs.
Capabilities
- Multi-channel demand modeling
- One-click supply netting
- Exception intelligence with severity scoring
- Long-tail SKU handling
Common signals we see
- Multi-channel demand patterns
- Long SKU tail with intermittent demand
- Supplier lead times shifting quarter to quarter
- Stockouts on fast movers, dead stock on slow movers
Use cases
The planning problems GrepEye solves across industries.
Six use cases, each addressing a specific failure point in the spreadsheet-to-ERP chain. Together, they cover data, forecasting, S&OP, automation, and AI orchestration.
Your industry
GrepEye was built for your demand patterns.
Whether you run discrete manufacturing with complex BOMs, pharma with lot traceability, F&B with perishability, or distribution with a long tail, the platform adapts. Book a walkthrough and we'll show you the relevant capabilities.