Supply Planning Support

Master data is incomplete or inaccurate

• Lead times are outdated or wrong, causing too-early or too-late orders
• Minimum order quantities and pack sizes aren't configured correctly
• Supplier reliability data is missing, so the system can't adjust for risk
• Product hierarchies and planning groups are poorly defined
• ABC classifications don't reflect actual demand patterns or criticality

Safety stock and reorder point logic doesn't match reality

• Safety stock calculations use generic formulas that don't account for demand variability
• Service level targets aren't differentiated by product importance or customer segment
• Seasonal patterns and promotional activity aren't factored into buffer calculations
• Supplier variability and quality issues aren't reflected in safety stock
• Reorder points trigger too early or too late, creating excess or shortages

Demand inputs are unreliable or misaligned

• Forecast accuracy is poor, so supply plans chase noise instead of signal
• Promotional and new product demand isn't communicated to supply planning
• Customer orders and forecast aren't reconciled, creating duplicate signals
• Demand latency means supply plans are always behind actual need
• Channel mix changes aren't reflected in replenishment logic

Optimization logic is too rigid or too complex

• Replenishment algorithms don't account for real-world constraints like truck capacity
• Multi-echelon optimization recommendations conflict with warehouse capacity
• Planning horizon settings are too short or too long, missing the right window
• Order consolidation rules save costs but break service commitments
• Planners can't easily understand why the system is recommending certain actions

Execution feedback and plan visibility are weak

• Planners can't see what's actually happening in the warehouse or with suppliers
• Exception alerts are noisy and lack prioritization, so real issues are buried
• Plan vs. actuals reporting requires manual extraction and reconciliation
• Inventory accuracy problems aren't visible until after orders fail
• Supplier performance data doesn't feed back into planning parameters

Planner adoption is weak because trust is low

• Planners override the system constantly because past recommendations failed
• Training focused on software features, not how to interpret and act on plans
• Exception handling requires manual workarounds the system doesn't support
• Planning workbench is clunky or slow, so planners default to spreadsheets
• No clear feedback loop to improve planning logic based on planner input

Planning parameters drift and aren't maintained

• Lead times change but aren't updated, causing persistent plan failures
• Safety stock settings become outdated as demand patterns evolve
• Product lifecycle changes (new, growth, maturity, decline) aren't reflected
• Supplier performance degrades but planning parameters don't adjust

Exception management becomes overwhelming

• Alert fatigue sets in because too many low-priority exceptions are flagged
• Planners spend time investigating noise instead of managing real problems
• Root causes aren't addressed, so the same exceptions repeat
• No clear escalation path for exceptions that need cross-functional resolution

Plan accuracy doesn't improve over time

• No continuous tuning process to refine planning parameters
• Planners don't have time or tools to analyze what went wrong
• Demand planning and supply planning teams don't collaborate on improvements
• System capabilities are underutilized because teams don't know they exist

Planning master data isn't cleansed before migration

• Obsolete SKUs and inactive suppliers are migrated unnecessarily
• Lead times are copied from legacy without validation or correction
• Planning hierarchies don't match the new system's structure
• Safety stock and reorder point logic from legacy doesn't translate cleanly

Historical demand and supply data are incomplete

• Insufficient history is migrated, limiting statistical model accuracy
• Stockouts and lost sales aren't flagged, biasing demand patterns
• Promotional and seasonal demand history is missing context
• Supplier performance data starts from zero, losing negotiation leverage

Open orders and in-transit inventory aren't tracked during cutover

• Purchase orders in flight aren't visible in the new planning system
• Scheduled receipts and expected arrivals are lost during transition
• Planners don't know what supply is already committed
• First planning run generates duplicate orders because visibility is broken

Planning logic and parameters don't translate cleanly

• Legacy algorithms and rules don't map directly to new system capabilities
• Custom logic and workarounds need to be rebuilt or replaced
• Planners lose familiarity with how to interpret and act on plans
• Tuning that took years to refine is lost in translation

Parallel planning creates confusion and errors

• Some planners use legacy, some use new system, with conflicting outputs
• No single source of truth for what orders to release
• Procurement doesn't know which plan to execute against
• Inventory positions drift because updates aren't synchronized

Legacy decommissioning loses critical planning history

• Demand history needed for seasonal planning is lost
• Supplier performance data and lead time trends aren't preserved
• Planning cycle documentation and decision rationale become inaccessible
• Audit trail for regulatory compliance becomes incomplete

Pre Go-Live Advisory

Master data readiness, planning parameter design, safety stock optimization, demand integration, testing strategy, cutover planning, and risk control.

Go-Live Command Center + Stabilization

Hands-on support during the critical transition window. Triage, daily cadence, exception resolution, parameter tuning, and planner coaching.

Program Recovery and Remediation

For supply planning programs that are underperforming or stuck. Root-cause assessment, data corrections, parameter retuning, retesting, and stabilization execution.

Legacy Replacement and System Sunset

Controlled migration from legacy planning system to new platform. Logic translation, data conversion, parallel planning governance, and clean decommissioning with history preservation.