Launch readiness.
Evaluate UAT coverage, cutover sequencing, rollback triggers, SOP alignment, training gaps, and operational sign-off before go-live.
WMS Launch Readiness AssessmentProblems we solve 8 common patterns
Find where the friction actually starts.
Slow workflows. Aging exceptions. Launch risk.
Trace the symptom back to the cause.
8 common patterns
Start with what
the floor is seeing.
Warehouse friction usually shows up as slow workflows, aging exceptions, launch risk, inventory defects, manual reporting, or inefficient movement. Optichain helps identify the root cause and build a practical path to improve execution.
Launch & migration
01Launch & migration
WMS Migration Readiness
Your team is preparing for a major WMS migration but lacks a structured readiness plan. Workflows are untested, operators are undertrained, and the cutover sequence has gaps.
Common symptoms
- No formal UAT scenario library
- Training materials do not match new workflows
- Cutover sequence has unresolved dependencies
- No rollback plan defined
How Optichain approaches it
We build a launch readiness framework: UAT scenarios, operator training materials, cutover checklists, a risk register, and a post-launch stabilization plan.
02Launch & migration
Launch Stabilization Support
The WMS is live, but the operation is struggling. Exception volumes are high, throughput is below target, and operators are reverting to old habits or paper-based workarounds.
Common symptoms
- High exception rate in the first weeks post-launch
- Operators not using directed workflows correctly
- Throughput significantly below pre-launch levels
- No structured triage or stabilization plan
How Optichain approaches it
We provide structured stabilization support: daily exception triage, workflow corrections, operator coaching, and a short-term roadmap to reach operational stability.
Inbound
03Inbound
Receiving & Putaway Breakdowns
Product is arriving correctly but inventory accuracy problems appear within hours or days. Operators work around the directed putaway process, creating confusion downstream.
Common symptoms
- High short-pick rates after receiving
- Putaway confirmations missing or delayed
- Operators bypassing directed locations
- Staging area inventory not clearing
How Optichain approaches it
We map the receiving and putaway workflows, identify where operator behavior diverges from system design, and redesign the process with updated SOPs and configuration recommendations.
Outbound
04Outbound
Pick Path Inefficiency
Pickers are spending excessive time traveling. Throughput is below target despite adequate staffing. The warehouse layout and slotting logic are contributing to travel waste.
Common symptoms
- Low picks-per-hour vs. targets
- Pickers frequently traveling to reserve for forward stock
- Wave logic not aligned to zone layout
- High-velocity SKUs in inefficient locations
How Optichain approaches it
We conduct a SKU velocity analysis, review wave logic and pick path sequencing, and recommend slotting and operational changes to reduce travel and improve throughput.
05Outbound
Packing Defects & Validation Gaps
Outbound errors (wrong items, incorrect quantities, or missing documentation) are creating customer escalations and returns. Packing workflows lack consistent validation steps.
Common symptoms
- Recurring wrong-item or short-ship errors
- Pack verification bypassed or skipped
- Label accuracy issues
- High customer-reported error rate
How Optichain approaches it
We review the end-to-end packing workflow, identify where validation steps are missing or bypassed, and design a tighter process with clear operator checkpoints.
Inventory & visibility
06Inventory & visibility
Inventory Accuracy Issues
System counts and physical inventory do not match. Cycle counts identify discrepancies but do not resolve the root cause. Confidence in the WMS inventory is low across the team.
Common symptoms
- Persistent location-level discrepancies
- Short picks not explained by normal variance
- Cycle count corrections not reducing error rates
- Manual reconciliation consuming team time
How Optichain approaches it
We investigate where discrepancy patterns originate across receiving, putaway, picking, and returns, and design workflow corrections that address root causes rather than symptoms.
07Inventory & visibility
Exception Aging & Poor Visibility
Exceptions accumulate in the WMS without clear ownership or resolution timelines. Management cannot see exception volume, aging, or resolution rates without manual reporting.
Common symptoms
- Exception queues growing unmanaged
- No visibility into exception type or age
- Exceptions resolved inconsistently
- No escalation path defined
How Optichain approaches it
We design an exception management framework with ownership rules and resolution workflows, and build a dashboard that surfaces exception volume, aging, and trends.
08Inventory & visibility
Manual Reporting Processes
Supervisors and managers spend hours each day or week building operational reports in spreadsheets. Critical data is available in the WMS but not surfaced in a usable form.
Common symptoms
- Daily shift reports built manually in Excel
- No real-time view of throughput or backlog
- Managers request data from IT for basic metrics
- Inconsistent KPI definitions across teams
How Optichain approaches it
We define the operational metrics that matter, map them to available data sources, and build dashboards that replace manual reporting with real-time visibility.
How the work runs
Trace it back.
Fix it at the source.
The visible problem is rarely where the fix belongs. Every engagement follows the same path from the floor to the system and back.
Observe the work
Time on the floor and in the data. How operators actually run receiving, putaway, picking, packing, and exceptions, and where that differs from the system design.
Trace the root cause
Follow the symptom upstream. Separate configuration, slotting, training, process drift, and integration issues so the fix lands in the right place.
Correct the workflow
SOP updates, configuration recommendations, and operator checkpoints built around how the floor really runs.
Make it visible
KPI definitions, exception views, and dashboards so the team can see a problem returning before it costs a shift.
Hand it off
Documentation, ownership rules, and a short roadmap the team can run on its own.
Not sure where to start?
Start with a
focused assessment.
Each diagnostic looks at one part of the operation and ends with a clear read on the cause and what to fix first.
Pick path.
Find where travel time, slotting, pick density, wave design, or replenishment gaps are slowing the pick path, and where pick shorts point to a deeper configuration issue.
Pick Path AssessmentInventory accuracy risk.
Quantify inventory accuracy risk by SKU, location, and workflow. Identify whether the issue is configuration, training, process drift, or a deeper systemic problem.
Inventory Accuracy Risk AssessmentOverride drift.
See where the team overrides directed WMS work, what it costs the operation, and whether the cause is configuration, slotting, replenishment, training, or workflow design.
WMS Override Drift Assessment