ID955 - Technician Warehouse Inventory Performance (Power BI) Overview & Sample:

Provides clear visibility into the performance of a Technicians Warehouse

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Overview

Overview

This report is designed for field service operations and supply chain teams responsible for managing technician warehouse stock. 

How well technician warehouses are stocked

Which items are at risk of stocking out, overstocked, or held for machines no longer active

Proposed automated min/max replenishment levels, based on actual service consumption and machine utilization

Compliance tracking against both existing and proposed min/max levels

Full demand variability and safety stock analysis per item

Type of Output: On Demand Report Power BI Report

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Sample

Sample

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Variables

Variables

NONE

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Alert Functionality

Alert Functionality

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This report is designed for field service operations and supply chain teams responsible for managing technician warehouse stock. It provides end-to-end visibility into:

• How well technician warehouses are stocked relative to demand and equipment in the field
• Which items are at risk of stocking out, overstocked, or held for machines no longer active
• Proposed automated min/max replenishment levels, based on actual service consumption and machine utilization
• Compliance tracking against both existing and proposed min/max levels
• Full demand variability and safety stock analysis per item

The report is built around a Warehouses X Items fact table, which is the central grain: one row per warehouse-item combination, holding real-time inventory positions (on-hand, defective, allocated, ordered, back-ordered, etc.) alongside item master, warehouse master, and min/max configuration.

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Power BI Reporting

Power BI Reporting

Parameter & Configuration Tables

These are What-If parameter tables that expose sliders/selectors to report consumers.

1. Access to filters 
 
 
 
2. Access to page documentation 
 
 

 

3. Access to KPIs Glossary 
 
 
 
 

Report Section — Stock Optimization & Performance Dashboards

 
Page 1 — Executive Overview - Stock Optimization 
 
Provide executives and senior managers with a one screen snapshot of warehouse stock health, usage trends, and risks.

Executives can answer at a glance:

1. How many items are at risk of stockout?
2. Where are we over-invested in stock?
3. What is the trend in usage and demand?
4. How much money is tied up in obsolete/low-demand stock?

 
 
 
 
Page 2 — Warehouse Health Summary 

Provides warehouse and regional managers a clear view of stock health by warehouse, highlighting risks, over/under stock, and replenishment needs.
 

Users can quickly answer:

1. Which warehouses are struggling with stockouts?
2. How many items are understocked vs overstocked?
3. What replenishment actions are needed?
4. How much stock is tied up in obsolete or low-demand items?

Page 3 — Stock Adjustment Proposal 
 
Provide planners and procurement teams with a prescriptive view of stock policies and adjustment needs. Compares current vs adjusted Min/Max levels, quantifies replenishment requirements and overstock reductions, and calculates the net financial impact of bringing warehouses into compliance. It shifts the focus from what’s wrong (diagnostics) to what to do next (recommendations).
Users can:

1. See the financial impact of adjusting stock levels — both investment needed (replenishment) and capital tied up (overstock).
2. Identify items out of policy (outside adjusted Min/Max) and quantify how many items are already compliant.
3. Review item-level proposals (suggested replenishment qty, overstock qty, adjustment impact) to support planning and procurement decisions.
4. Prioritize actions by warehouse, item category, or criticality, focusing efforts where the financial or operational risk is highest.
5. Balance stock policies by aligning Min/Max levels with demand patterns, machine population, and item criticality.

 
Page 4 — Exceptions & Obsolete Stock 
 
Highlight inventory that is no longer aligned with machine demand in the field. This page focuses on items with no active machines or very limited machine populations, quantifying both the volume  and the financial value of stock that risks becoming obsolete.
 

Users can immediately answer:

1. How much stock is tied up in exceptions?
2. Which warehouses carry the most obsolete stock?
3. What’s the split between No Machines vs Limited Machines?
4. Which specific items drive the exposure?

Page 5 — Stockout Risk Analysis 
 
Provide a forecast-driven view of stockout risk, showing:

• Which items are predicted to run out soon (based on average usage + current stock).
• When stockouts are expected (Predicted Stockout Date).
• How much stock is at risk within the user-selected horizon (N Days).
• The financial value of potential stockouts.
   

Users can:

1. Identify items with critical risk of running out.
2. See Predicted Stockout Dates and prioritize by urgency.
3. Quantify the value impact of at-risk items.
4. Drill into warehouses or items to create replenishment orders before outages occur.

Page 6 — Inventory Value & Financial Exposure 
 
Provide finance and operations leaders with a financial lens on inventory:

• Where the company’s money is tied up (by warehouse, category, or item type).
• How much value is at risk due to overstock, understock, or exceptions.
• Support better cashflow decisions by linking stock optimization to financial KPIs.

Users can:

1. See total inventory value and its breakdown by warehouse, category, or branch.
2. Quantify financial impact of overstock (capital locked up) and understock/replenishment needs (investment required).
3. Measure value exposure from exceptions (obsolete / near-obsolete stock).
4. Prioritize financial decisions (e.g., free cash from excess stock, budget for replenishment).
5. Connect stock optimization KPIs to business finance metrics (working capital, cost of carrying inventory).

Page 7 — Stock Policy Compliance & Efficiency 

Measure how well current inventory aligns with policy rules and demand:

• Are items within adjusted Min/Max ranges?
• How much stock is understocked, overstocked, or compliant?
• Is usage intensity balanced with current holdings (efficiency)?
• Where are exceptions weakening compliance? 
   

Users can:

1. See % of items compliant with adjusted Min/Max levels.
2. Quantify understocked and overstocked value.
3. Identify warehouses or categories with poor compliance.
4. Spot inefficiencies via Usage-to-Stock Ratios.
5. Drill into exceptions for actionable fixes.

Page 8 — Demand & Replenishment Forecast 
  
Provide planners with a proactive view of upcoming demand and replenishment needs by combining usage forecasts, MIF (machines in field),  
and current stock levels. This helps align purchase planning and distribution decisions with service demand. 
 
Users can:

1. See forecasted demand (items × daily usage × time horizon).
2. Compare demand vs. current stock + policy levels.
3. Quantify replenishment needs in the short, medium, and long term.
4. Prioritize replenishment across warehouses, categories, or territories.
5. Support procurement and logistics teams in creating better-aligned purchase orders.

Page 9 — Safety Stock Analysis 
 
Show how demand variability (volatility) and item criticality combine to determine Final Safety Days, which in turn drive adjusted Min/Max levels.

This page makes the policy logic visible:

• High variability = more buffer.
• High criticality = more buffer.
• Stable & non-critical = minimal buffer.

Users can:

1. See which items/warehouses require higher safety buffers.
2. Understand how variability (CV) and criticality interact.
3. Compare current stock vs. recommended buffer days.
4. Build trust in the Min/Max adjustment methodology.

 
 
 
Report Section — Performance Quadrant Analysis 
 
 

Page 10 — Overstock vs Usage Intensity 
 

Highlight whether excess stock is justified by actual consumption patterns.

 This page helps users distinguish between:

• Healthy fast movers that justify holding stock, and
• Obsolete or slow movers where overstock ties up unnecessary capital..

 
Users can:

1. Pinpoint items with high overstock but low usage (disposal/reallocation zone).
2. Validate if fast movers are stocked correctly.
3. Ensure overstock policies are not applied blindly across items.

 Scope:

• X-axis: Overstock Value (currency)
• Y-axis: Avg Daily Usage (units/day)
• Each point = Warehouse → Warehouse × Item.

 
Quadrant Labels & Colors:

• Top Right (High Overstock + High Usage) → “⚠️ Monitor Closely” (Orange)
• Top Left (Low Overstock + High Usage) → “✅ Efficient Fast Movers” (Green)
• Bottom Right (High Overstock + Low Usage) → “❌ Excess Risk” (Red)
• Bottom Left (Low Overstock + Low Usage) → “ℹ️ Low Activity Zone” (Grey/Blue)

 
Page 11 — Replenishment Need vs Exception Risk 
 
Show whether warehouses/items that require significant replenishment investment are also carrying obsolete or near-obsolete stock.

This page highlights mismatches where capital is needed in one direction but wasted in another.

 
Users can:

1. Identify critical problem areas → high replenishment need and high exception exposure (worst of both worlds).
2. Spot investment zones → high replenishment need but low exception stock (healthy growth).
3. Flag obsolescence zones → low replenishment need but high exception stock (write-off candidates).
4. Confirm stable zones → low replenishment + low exception stock (well managed).

 Scope:

• X-axis: Replenishment Value (currency needed to reach adjusted max)
• Y-axis: Exception Stock Value (currency tied up in obsolete/near-obsolete stock)
• Each point = Warehouse or Warehouse × Item (depending on drill level).

 
Quadrant Labels & Colors:

• Top Right (High Replenishment + High Exception) → “❌ Capital at Risk” (Red)
• Top Left (Low Replenishment + High Exception) → “⚠️ Obsolescence Zone” (Orange)
• Bottom Right (High Replenishment + Low Exception) → “✅ Investment Zone” (Green)
• Bottom Left (Low Replenishment + Low Exception) → “ℹ️ Stable Zone” (Grey/Blue)

 
 
 
 
Page 12 — Compliance vs Service Coverage 
 
Show how well warehouses or items are aligned with both stock policy (Min/Max compliance) and service demand (machines in field coverage). This ensures stock levels are not only within policy but also justified by real demand.

 
Users can:

1. Identify critical service risks → low compliance but high machine coverage (stock not aligned with demand).
2. Spot excess policy zones → high compliance but low machine coverage (over-policed stock with little demand).
3. Confirm best practice areas → high compliance + high coverage.
4. Flag weak alignment zones → low compliance + low coverage.

 Scope:

• X-axis: Adjusted Min/Max Compliance %
• Y-axis: MIF Coverage % (share of active machines supported by stocked items)
• Each point = Warehouse or Category × Warehouse.

Quadrant Labels & Colors:

• Top Right (High Compliance + High Coverage) → “✅ Best Practice” (Green)
• Top Left (Low Compliance + High Coverage) → “❌ Service Risk Zone” (Red)
• Bottom Right (High Compliance + Low Coverage) → “⚠️ Policy Excess” (Orange)
• Bottom Left (Low Compliance + Low Coverage) → “ℹ️ Weak Alignment” (Grey/Blue)

Page 13 — Value Impact vs Stockout Risk 
 
Compare the financial opportunity of stock optimization (value released or invested) against the service risk of stockout.

Ensures planners prioritize actions that maximize both financial efficiency and service continuity.

Users can:

1. Highlight urgent items with high stockout risk and large financial impact.
2. Identify capital release opportunities where stockout risk is low.
3. Flag service-critical but low-value items (cheap parts driving service risk).
4. Spot low-priority items with both low risk and low financial impact.

 Scope:

  X-axis: Net Adjustment Impact (Value)

• Positive = investment required (replenishment).
• Negative = capital release (overstock reduction).

    Y-axis: Stockout Risk Value (currency exposure from at-risk items).

• Each point = Warehouse, Item Category, or Item (depending on drill).

 
Quadrant Labels & Colors:

• Top Right (High Value Impact + High Risk) → “❌ Critical Priority” (Red)
• Top Left (Low Value Impact + High Risk) → “⚠️ Service Risk (Low Value)” (Orange)
• Bottom Right (High Value Impact + Low Risk) → “✅ Capital Opportunity” (Green)
• Bottom Left (Low Value Impact + Low Risk) → “ℹ️ Low Priority” (Grey/Blue)

 
 
 
Page 14 — Warehouse Benchmark 
 
Provide a warehouselevel benchmarking view that compares policy adherence (compliance %) with financial scale (inventory value). This helps middle and senior managers prioritize which warehouses need immediate focus.

Users can:

1. Spot high-value warehouses with poor compliance (biggest risk, top priority).
2. Recognize high-value + high-compliance hubs (best practice).
3. Identify low-value but non-compliant warehouses (lower priority, but still fixable).
4. Flag low-value + compliant warehouses (efficient, not urgent).

 Scope:

• X-axis: Adjusted Min/Max Compliance % (0–100%).
• Y-axis: Inventory Value (currency, total stock value).
• Each point = Warehouse.

 
Quadrant Labels & Colors:

• Top Right (High Compliance + High Value) → “✅ Strategic Hub” (Green)
• Top Left (Low Compliance + High Value) → “❌ Red Flag Warehouse” (Red)
• Bottom Right (High Compliance + Low Value) → “⚠️ Efficient Small Warehouse” (Orange)
• Bottom Left (Low Compliance + Low Value) → “ℹ️ Minor Issue” (Grey/Blue)

Report Section — Exception Workbench  

Page 15 — Stockout Risk Table 
 
Provide a warehouse–item level action list of items that are at risk of running out based on usage trends and user-defined time horizon. This ensures planners can quickly see which items are in danger and take corrective action.

 
Users can:

1. Identify items with Days Remaining ≤ N (user threshold).
2. Prioritize high-value stockouts (Stockout Risk Value).
3. Provide warehouse managers a clear list to act on (replenishment orders).

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Avg Daily Usage (units/day)
• Days Remaining = Current Stock ÷ Avg Daily Usage
• Stockout Risk Flag (Now, High Risk, Medium Risk, Low Risk — from disconnected table)
• Stockout Risk Value = Current Stock Value at risk

 
 
 
Page 16 — Overstock Table 
 
Provide a warehouse–item level listing of items that are above adjusted Max stock levels.

This enables managers to quickly identify where capital is tied up unnecessarily and take corrective actions (redistribute freeze orders, or reduce)

Users can:

1. Identify items with excess stock at the warehouse level.
2. Quantify the financial impact of overstock.
3. Prioritize reduction/reallocation based on Overstock Value.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Adjusted Max Level (qty)
• Overstock Qty = Current Stock – Adjusted Max (if >0)
• Unit Cost
• Overstock Value = Overstock Qty × Unit Cost

Page 17 — Replenishment Need Table 
 
Provide a warehouse–item level list of items that are under adjusted Min levels, showing how much replenishment is needed to reach policy compliance.

Users can:

1. Identify understocked items that risk service failure.
2. Quantify investment required to restore stock to policy levels.
3. Prioritize replenishment by financial impact (Replenishment Value).

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Adjusted Min Level (qty)
• Replenishment Qty = MAX(0, Adjusted Min – Current Stock)
• Unit Cost
• Replenishment Value = Replenishment Qty × Unit Cost

 
 
 
 
Page 18 — Exception & Obsolete Items Table 
 
Provide a warehouse–item level listing of items that have no active machines in the field (obsolete) or only a small installed base  (limited demand).

This highlights items that tie up capital without supporting ongoing service..

Users can:

1. Identify items that should be frozen, redeployed, or written off.
2. Quantify the financial exposure of obsolete/low-demand stock.
3. Provide managers with actionable disposal/reallocation candidates.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Unit Cost
• Exception Type (No Machines / Limited Machines)
• Exception Stock Value = Current Stock × Unit Cost

Page 19 — Compliance Check Table 

Provide a warehouse–item level listing showing whether items are compliant or non-compliant with their adjusted Min/Max policy.

This helps managers track policy adherence and spot items needing corrective action.

Users can:

1. Highlight non-compliant items (outside Min/Max).
2. Differentiate between understocked vs overstocked.
3. Help ensure stock policies are being respected at warehouse level.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Adjusted Min Level (qty)
• Adjusted Max Level (qty)
• Compliance Flag (Compliant / Non-Compliant)
• Deviation =
  • If stock < Min → “Understocked”
  • If stock > Max → “Overstocked”
  • Else → “Compliant”

 
 
 
Page 20 — e-Auto Compliance Check Table 
 
Provide a warehouse–item level listing showing whether items are compliant or non-compliant with their e-Auto set Min/Max policy. This helps managers track policy adherence and spot items needing corrective action.

Users can:

1. Highlight non-compliant items (outside Min/Max).
2. Differentiate between understocked vs overstocked.
3. Help ensure stock policies are being respected at warehouse level.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Adjusted Min Level (qty)
• Adjusted Max Level (qty)
• Compliance Flag (Compliant / Non-Compliant)
• Deviation =
  • If stock < Min → “Understocked”
  • If stock > Max → “Overstocked”
  • Else → “Compliant”

 
 
 
Page 21 — Value Exposure Table 
 
Provide a warehouse–item level listing that consolidates the financial impact of exceptions (overstock, replenishment, obsolete stock, and net adjustment). This page helps prioritize actions by monetary value, ensuring capital is allocated efficiently.

 
Users can: 

1. Identify which items have the largest financial exposure.
2. Support decision-making by highlighting top value risks/opportunities.
3. Provide a prioritized action list for warehouse and finance teams.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Overstock Value = Overstock Qty × Unit Cost
• Replenishment Value = Replenishment Qty × Unit Cost
• Exception Stock Value (No Machines / Limited Machines exposure)
• Net Adjustment Impact (Value) = Replenishment Value – Overstock Value

 
 
 
Page 22 — Safety Stock Stress Test Table 
 
Provide a warehouse–item level listing that compares current stock against the required buffer stock derived from Final Safety Days.

This ensures that items have enough stock to cover demand variability and criticality.

User Can: 

1. Highlight items below required buffer (risk of shortage).
2. Show items above buffer (healthy or over-protected).
3. Help align Min/Max adjustments with actual safety stock needs.

 Scope:

• Warehouse (ID / Name)
• Item ID / Description
• Current Stock (qty)
• Avg Daily Usage (18M) (units/day)
• Final Safety Days (from demand variability & criticality rules)
• Required Safety Stock = Final Safety Days × Avg Daily Usage (18M)
• Gap (Qty) = Current Stock – Required Safety Stock
• Gap Status = “Below Safety Stock” / “Above Safety Stock”

 
 
 
Page 23 — Smart Stock Recommendation 
 
This page is designed for technicians, warehouse planners, or new warehouse setups where no optimized stock exists  yet.

 It analyzes:

• Historical service usage across all warehouses for the same assigned equipment models.
• Look-back period selected by the user (parameterized).
• Lead time, safety days, and maximum coverage days to compute recommended minimum and maximum stock levels per item.
• Optionally includes benchmarking against peer technicians (if it’s an existing warehouse).

Inputs:

• Selected warehouse (Technician)
• Look-back days
• Lead time (days)
• Max coverage days

 
Users can:

1. Recommended stock levels (Min / Max / Ideal Qty) per item based on modeled demand.
2. Total investment required (value of replenishment to reach recommended levels).
3. Items excluded (no usage or no linked machines).
4. Simulated performance indicators:
   • Coverage days based on new stock levels
   • Forecasted stockout risk (should be minimal)
   • Estimated reduction in emergency calls or service delays
5. A ready-to-export “Stock Proposal Sheet” (table) that can be used for approval or ERP update.

  
Page 24 — 30 Day Stock Recommendation based on click Usage  *** beta 
 
This page is designed for technicians, warehouse planners, or new warehouse setups where no optimized stock exists  yet.

 It analyzes:

• Historical Click usage across all equipment.
• Look-back period = 365 days

Inputs:

• Selected warehouse (Technician)

 
Users can: 

1. Recommended stock levels (Min / Max / Ideal Qty) per item based on modeled demand.
2. Total investment required (value of replenishment to reach recommended levels).
3. Items excluded (no usage or no linked machines).
4. A ready-to-export “Stock Proposal Sheet” (table) that can be used for approval or ERP update.

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Related Alerts

Related Alerts

Add any related alerts that client could/should may want to consider

ID28 - Technician Productivity

ID754 - Serialized Inventory InStock

ID772 - Inventory Management

See full list of all Power BI reports that we currently have available

https://support.ceojuice.com/hc/en-us/sections/360011259132-Power-BI-Reports

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