Inventory Intelligence Platform

The Operating System forDistributed Inventory

MEXTОQ transforms raw stock and sales data into a 16-step intelligence engine — surfacing stockout risks, trapped working capital, and transfer opportunities across every SKU in your network.

▷16

Engine StepsSequential pipeline

⬡6

Sectors SupportedIndustry calibrated

◉99%

Service Level TargetIndustrial default

◈8

KPIs per ReportCFO ready outputs

STEP 01

Validate Data

STEP 03

Variability Scoring

STEP 05

Revenue Contribution

STEP 07

Service Level

STEP 09

Safety Stock

STEP 11

Required Stock

STEP 13

Financial Metrics

STEP 15

Confidence Score

STEP 01

Validate Data

STEP 03

Variability Scoring

STEP 05

Revenue Contribution

STEP 07

Service Level

STEP 09

Safety Stock

STEP 11

Required Stock

STEP 13

Financial Metrics

STEP 15

Confidence Score

STEP 01

Validate Data

STEP 03

Variability Scoring

STEP 05

Revenue Contribution

STEP 07

Service Level

STEP 09

Safety Stock

STEP 11

Required Stock

STEP 13

Financial Metrics

STEP 15

Confidence Score

STEP 02

Demand Computation

STEP 04

XYZ Classification

STEP 06

ABC Segmentation

STEP 08

Z Score

STEP 10

Reorder Point

STEP 12

Surplus / Deficit

STEP 14

Transfer Scoring

STEP 16

Output Reports

STEP 02

Demand Computation

STEP 04

XYZ Classification

STEP 06

ABC Segmentation

STEP 08

Z Score

STEP 10

Reorder Point

STEP 12

Surplus / Deficit

STEP 14

Transfer Scoring

STEP 16

Output Reports

STEP 02

Demand Computation

STEP 04

XYZ Classification

STEP 06

ABC Segmentation

STEP 08

Z Score

STEP 10

Reorder Point

STEP 12

Surplus / Deficit

STEP 14

Transfer Scoring

STEP 16

Output Reports

Platform Architecture

Six intelligence modules powering the engine

CAP-01

Classification Engine

ABC–XYZ–VED multi-dimensional SKU intelligence determining contribution segments and demand patterns.

CAP-02

Demand Modelling

Average demand, CV scoring and Poisson modelling for intermittent inventory demand patterns.

CAP-03

Stock Optimisation

Safety stock and reorder points sized using demand variability and lead-time dynamics.

CAP-04

Financial Intelligence

Quantifies inventory value, excess capital, carrying cost and revenue-at-risk per SKU.

CAP-05

Network Optimisation

Matches surplus and deficit inventory across warehouses and recommends high-ROI transfers.

CAP-06

Confidence & Audit

Every output includes a 0-100 confidence score derived from data completeness and volatility.

Sector Calibration

Pre-configured defaults for industry inventory behaviour. Every sector ships with CCR, lead-time, CV, and service-level targets tuned to real distribution contexts.

CCRCarrying cost rate

LTLead time (days)

CVDemand variability

SLService-level target

💊

Pharma

Expiry-aware distribution

CCR22%

LT14d

CV0.35

SL95%

Stable prescription-driven demand with cold-chain complexity. Highest SL target after Industrial.

🛒

FMCG

High-velocity consumer goods

CCR20%

LT7d

CV0.50

SL95%

Fastest replenishment cycle. Promo-driven CV spikes require dynamic safety stock re-calibration.

🔩

Industrial

MRO & mission-critical spares

CCR24%

LT21d

CV0.65

SL99%

Highest SL in the platform — downtime costs far exceed carrying costs on critical spares.

🚗

Automotive

Fitment-critical aftermarket

CCR23%

LT21d

CV1.20

SL95%

Highest CV default — Z-class treatment applies automatically, triggering +40% safety stock uplift.

🧵

Textile

Seasonal fashion distribution

CCR25%

LT30d

CV1.00

SL85%

Longest lead time and highest CCR — wedding-season peaks demand months of advance planning.

Run the MEXTОQ Engine on your inventory

Upload your inventory data and instantly see stockout risks, excess capital and transfer opportunities across your network.