Tensor AnalyticsTM
Workflow examplesIllustrative scenarios

Threeplanning
problemsGrepEye
wasbuilttosolve.

Explore three illustrative supply chain workflows: demand review, inventory decisions, and the ERP handoff. Use them to define what to test in your own environment and which evidence a successful pilot should produce.

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Workflow examples

Planning workflows to evaluate.

Illustrative scenarios for evaluating GrepEye Supply Chain. These examples describe workflows to test, not verified customer results.

Illustrative scenario · manufacturer
The problem

“Too much reconciliation before the S&OP review”

The workflow to evaluate

A shared demand review with explicit approval gates

Consider a manufacturer whose planners reconcile separate demand exports before each review. A GrepEye Supply Chain evaluation can bring the forecast, planner overrides, and sequential approvals into one workflow. Test whether reviewers can explain a change, identify its owner, and reproduce the approved plan. Measure cycle time against the existing process during the pilot; no time saving is assumed here.

  • Compare the baseline and reviewed plan
  • Record overrides and approval responsibility
  • Reconcile the approved output downstream
01
Baseline
Measure the existing cycle
Review
Trace one override
Approval
Verify the agreed plan
Illustrative scenario · distributor
The problem

“Inventory decisions depend on stale assumptions”

The workflow to evaluate

A dated view of demand, usable stock, and incoming supply

Consider a distributor reviewing shortages from disconnected inventory and purchasing files. Supply netting can expose where dated demand exceeds usable stock and expected receipts. Test a delayed receipt, blocked stock, and a changed lead time. Record the policy assumptions behind the recommendation and assign someone to each exception.

  • Check usable stock and receipt timing
  • Review shortages at item-location level
  • Agree the action and its owner
02
Stock
Confirm actual availability
Receipts
Check dates and status
Policy
Document assumptions
Illustrative scenario · planning team
The problem

“Forecasts, sign-off, and ERP updates are disconnected”

The workflow to evaluate

A traceable path from data to approved operational output

Consider a planning team using separate tools for forecasting, consensus review, and ERP entry. Evaluate a connected workflow by following one item from source data to a proposed plan, a human approval, and an acknowledged handoff. Test a rejection and retry so the team can see how failures are resolved. Consolidation and deployment scope depend on the systems involved.

  • Define ownership across each handoff
  • Verify approvals and change history
  • Test destination acknowledgement and recovery
03
Source
Trace the original record
Decision
Keep the approval context
Handoff
Reconcile the destination

These are illustrative scenarios. Any expected improvement should be measured against your own baseline during a scoped pilot.

The patterns

Four planning anti-patterns GrepEye replaces.

These are the structural problems we see across every engagement. Each one has a specific GrepEye response, not a feature, a workflow change.

01

Spreadsheet sprawl

The anti-pattern

Each planner maintains their own version. Consensus means the loudest voice wins. No audit trail, no version history. Cycle times balloon because every change has to be reconciled across multiple files.

GrepEye's response

Structured datasets with version-controlled records. S&OP console with sequential gate enforcement. Append-only ledger captures every override with actor and timestamp.

02

Single-model forecasting

The anti-pattern

One statistical model applied across all SKUs, regardless of demand pattern. Intermittent demand distorts exponential smoothing. Seasonal peaks missed. No way to tell which model works best for which product family.

GrepEye's response

ML ensemble (multiple model families) per SKU. Inverse-MAPE weighting blends the best performers. Accuracy leaderboard shows which model wins per product family.

03

Manual supply netting

The anti-pattern

Supply plans computed in spreadsheets, often stale by the time they're published. No visibility into gaps until they become stockouts. Manual review of every SKU every cycle.

GrepEye's response

One-click supply netting recomputes net supply from approved demand in seconds. Exception intelligence auto-raises gaps over 10% of demand with severity scoring. Idempotent on re-run.

04

Plan drift after sign-off

The anti-pattern

Planning numbers keep changing after production has started. No formal lock. Finance and operations work from different versions. New product launches and what-if scenarios disrupt the live plan.

GrepEye's response

Cycle lock freezes the plan permanently after exec sign-off. Scenario planning keeps what-ifs isolated as sparse overlays on the base version, never touching the baseline.

Sound familiar?

Let's run GrepEye on your data.

If any of these patterns sound familiar, book a 45-minute walkthrough. We'll run the full platform on a representative slice of your demand data and show you exactly what changes.

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