>
Contact Let's Talk
Digital Transformation · Inventory Management

Inventory that frees cash, not just counts it.

Multi-location stock control, forecasting and replenishment — implemented in SAP, Oracle Fusion, Dynamics 365 or our own Xtreme Industry ERP, and optimised with DecisionPlan. We migrate inventory from spreadsheets, Tally and legacy systems, set the right stock policy per item class, and keep the planning cycle running after go-live.

ImplementERP inventory
MigrateTally & legacy stock
ForecastAI demand planning
OptimiseService vs working capital

What we optimise

  • Multi-location and in-transit stock visibility
  • Demand forecasting at SKU-location level
  • Automated replenishment and transfer suggestions
  • Safety stock and reorder point optimisation
  • Slow-moving and dead stock programmes
Why it matters now

Inventory is working capital

Every unit of excess stock is cash on a shelf; every stock-out is a lost order. The balance point differs by item, so the policy should too — fast, stable movers can be run lean on short cycles, while erratic items need a buffer that is calculated rather than guessed. What decides the outcome is not which ERP you own but whether stock policy is set per item class, and whether forecast quality is measured against a baseline you recorded before anyone changed anything.

SKU × locationThe level at which forecasts and stock policy are set
FIFO / WAVGValuation methods, posted through to the ledger
MAPE & biasForecast accuracy tracked against a recorded baseline
Related services

What inventory depends on

Stock policy is only as good as the systems that execute and measure it.

DecisionPlanOptimisation across locations, transport and constraints Warehouse executionBins, counts and the accuracy your forecasts assume Transport & replenishmentMoving stock between locations economically ERP inventorySAP, Oracle Fusion, Dynamics 365 or Xtreme ERP Working-capital analyticsAgeing, turns and cash tied up in stock Demand forecastingModels measured against a recorded baseline Demand signals from salesPipeline and orders feeding the forecast Planning managed serviceWe run the weekly cycle with your team
What we do

Inventory services, end to end

Delivered end to end or as individual services, under our CMMI Level 3 process framework and ISO 27001 certified information security.

ERP inventory implementation

Multi-location stock, batches, serials, units of measure, valuation and transfers — in SAP Materials Management and Inventory Management, Oracle Fusion Cloud Inventory Management, Dynamics 365 Supply Chain Management, or our own WorkSuite Finance and Xtreme Industry ERP.

Inventory migration

Item and location masters, batches and opening stock from Tally, spreadsheets, Access databases or legacy ERP, reconciled to a physical count before go-live.

Demand forecasting

SKU-location forecasts built where your planning already lives — SAP Integrated Business Planning, Oracle Fusion Cloud Demand Management, Dynamics 365 Demand Planning or DecisionPlan — with accuracy and bias measured against a recorded baseline.

Replenishment automation

Reorder points, safety stock and purchase or transfer suggestions derived from your service targets, using each platform's own replenishment engine — and DecisionPlan where cross-location and transport constraints have to be optimised together.

Stock policy by item class

ABC/XYZ segmentation so every item gets a service level, buffer and review cycle that matches its value and its demand pattern — configured in whichever ERP you run.

Slow and dead stock

Ageing thresholds that flag stock early, redistribution between locations where demand still exists, and liquidation rules applied before value is written off.

Inventory analytics

Stock, movement and cost history modelled in Snowflake and reported in Power BI — ageing, turns, fill rate and the cash tied up in each location.

Planning managed service

We run the planning cycle alongside your team, recalculating policy parameters as demand patterns and lead times move.

How we deliver

A phase-gated approach, no surprises at go-live

Every phase ends in a documented decision and the evidence behind it — an artefact you own and can take elsewhere.

01

Baseline

Stock, service levels, forecast accuracy and ageing today.

You receiveBaseline report
02

Segment

ABC/XYZ classes and service targets per class.

You receivePolicy matrix
03

Implement

ERP inventory set-up, migration, forecasting and replenishment rules.

You receiveConfigured system · Migrated stock
04

Pilot

Run on a product family or location, compare against current practice.

You receivePilot results
05

Scale & run

Roll out and run the weekly cycle with measured outcomes.

You receiveMonthly KPI pack
Decision guide

Stock policy by item class

ClassDemand patternSuggested policyReview cycle
AXHigh value, stableTight safety stock, frequent replenishmentWeekly
AZHigh value, erraticForecast plus buffer, planner reviewWeekly
BYMedium value, variableReorder point with dynamic safety stockFortnightly
CXLow value, stableMin-max, larger lotsMonthly
CZLow value, erraticMake or buy to order where possibleMonthly or on demand

Illustrative framework; final policies are set from your own data and service targets.

Where inventory and planning sit, by platform

PlatformInventory executionDemand and replenishment planning
SAPMaterials Management and Inventory Management in S/4HANASAP Integrated Business Planning (IBP) for demand and supply planning
OracleFusion Cloud Inventory ManagementFusion Cloud Supply Chain Planning, including Demand Management and Replenishment Planning
MicrosoftDynamics 365 Supply Chain Management — inventory management and Inventory VisibilityDynamics 365 Demand Planning, with Power BI for stock and working-capital reporting
MJC GlobalTechXtreme Industry ERP and WorkSuite FinanceDecisionPlan for optimisation across locations and transport

Module availability and naming vary by release and licence; scope is confirmed against your own entitlements during discovery.

Ways to work with us

Engagement models that fit the stage you are at

Engagement modelWhat you getTypical durationTypical commercial model
Advisory & roadmapAssessment, options, business case and roadmap4–8 weeksFixed price
End-to-end implementationDesign, build, migrate, test, train, go live, hypercare3–24 monthsFixed price or milestones
Migration factoryA dedicated team and tooling that migrates in planned wavesPer wavePer wave or time and materials
Managed servicesL1–L3 support, releases, monitoring, optional 24/7 cover1–5 yearsMonthly fee by service tier
Dedicated team / BOTPods that run your platform and can move in-house later12+ monthsMonthly per team

Durations are typical ranges; commercial terms are agreed per engagement.

Technology

Platforms and tools we work with

AreaPlatforms and tools
SAPMaterials Management and Inventory Management in S/4HANA; SAP Integrated Business Planning (IBP) for demand and supply planning
OracleFusion Cloud Inventory Management; Fusion Cloud Supply Chain Planning, including Demand Management and Replenishment Planning
MicrosoftDynamics 365 Supply Chain Management — inventory management, Inventory Visibility and Demand Planning; Power BI for stock and working-capital reporting
MJC productsDecisionPlan for optimisation across locations and transport; WorkSuite Finance; Xtreme Industry ERP; OptiFIT with ORMAE
Data platformSnowflake for stock, movement and cost history; Power BI and your existing BI stack for reporting
CaptureBarcode and RFID, integrated with warehouse management
Migration sourcesTally, spreadsheets, Access databases, legacy ERP
Our Thinking

Perspectives on Inventory Management

How AI-powered demand forecasting and ERP-integrated inventory control are reducing carrying costs, eliminating stockouts, and turning inventory from a liability into a competitive asset.

📊
Insight

Demand Forecasting Accuracy: How AI Reduces Inventory Carrying Costs

Moving from statistical forecasting to machine-learned demand signals reduces excess inventory by 20–40% without increasing stockout frequency. The feature engineering and model choices that drive the improvement.

More insights
⚖️
Point of View

Just-in-Time vs. Safety Stock: AI-Optimised Inventory Strategies

JIT exposed its fragility in recent disruptions; safety stock is expensive. AI-optimised hybrid strategies — with dynamic safety stock parameters — offer a third path that balances resilience and cost.

More insights
🗺️
Whitepaper

Multi-Location Inventory: The ERP Configuration Playbook

Organisations with multiple stocking locations — warehouses, branches, 3PLs — face configuration choices that determine transfer efficiency, fill rate, and audit traceability for years after go-live.

More insights
🗑️
Case Study

Eliminating Dead Stock: Predictive Analytics for Inventory Managers

A distribution company with £4M in annual dead stock write-offs reduced that figure by 78% in 12 months using demand sensing and automated markdown triggers. The implementation in detail.

More insights
Questions we get

Before you ask

What does an inventory management engagement cover?
Multi-location stock visibility across distribution centres, warehouses, stores and in-transit; demand forecasting at SKU-location granularity; automated replenishment with calculated reorder points and safety stock; allocation rules for constrained supply; slow-moving and dead stock programmes; and explicit trade-off analysis between service level and working capital. Platform configuration and the analytics layer are both in scope.
Which platforms do you implement inventory management on?
SAP, Oracle Fusion, Microsoft Dynamics 365, and our own Xtreme Industry ERP and WorkSuite Finance. Execution sits in Materials Management and Inventory Management in S/4HANA, in Oracle Fusion Cloud Inventory Management, or in Dynamics 365 Supply Chain Management, depending on what you run. We start from the platform you already own and licence rather than proposing a replacement, and the method behind the work is the same on all of them.
How is demand forecasting done at SKU-location level?
Statistical baselines such as moving average, exponential smoothing and Croston for intermittent demand are combined with machine-learned models using price, promotion, seasonality, calendar events and lead-time variability. Accuracy is measured per segment with MAPE and forecast bias against a baseline recorded before we change anything, and slow or lumpy items are forecast differently from fast movers instead of being forced through one model.
How are safety stock and reorder points calculated?
From demand variability, lead-time variability and the service level you choose, not from a fixed number of weeks of cover. Raising a target fill rate from 95 to 99 percent can multiply safety stock for volatile items, which is why the trade-off is modelled per segment. Parameters are then recalculated on a schedule as demand patterns shift.
What data do you need to get started?
Item master, location master, opening stock by location, ideally 18 to 36 months of demand history, purchase and transfer orders with actual receipt dates, supplier lead times, costs and current inventory policies. Receipt dates matter most, because lead-time variability drives safety stock. We validate completeness, duplicates and referential integrity before any model is run.
How does planning integrate with the ERP we already run?
Planning reads master data, stock positions and open orders from the ERP, then returns recommended replenishment and transfer quantities for planner approval. Execution stays in the ERP, so purchase orders and stock transfers are raised where your controls and audit trail already live. Integration is normally API-based, with scheduled extracts where no suitable interface exists.
We run Oracle Fusion. Can planning stay inside it?
Usually yes. Oracle Fusion Cloud Supply Chain Planning covers demand planning and replenishment planning against Oracle Fusion Cloud Inventory Management, so forecasts, policy parameters and execution all sit in one place. We configure segmentation, forecasting profiles and replenishment methods there, and add DecisionPlan only where the decision spans locations and transport together and needs to be optimised as one problem.
We are a Microsoft shop. How does inventory work in Dynamics 365?
Inventory management in Dynamics 365 Supply Chain Management handles multi-location stock, batches, serials, units of measure and valuation, while Inventory Visibility gives a consolidated on-hand view across sites and channels. Demand Planning covers the forecast, and Power BI gives finance the ageing, turns and working-capital reporting. The segmentation and policy work is identical to any other platform.
Can you move our stock data out of Tally or spreadsheets?
Yes. We migrate item and location masters, batches, serials and opening balances from Tally, spreadsheets, Access databases or a legacy ERP, validate completeness, duplicates and referential integrity, then reconcile the loaded balances to a physical count before go-live.
Do we need a separate planning tool as well as the ERP?
Often not. SAP Integrated Business Planning, Oracle Fusion Cloud Supply Chain Planning and Dynamics 365 Demand Planning each cover forecasting and replenishment for most requirements, and we would rather configure what you have already licensed. DecisionPlan is added when the problem is genuinely one of optimisation, with stock, locations and transport considered together under constraints, and we say which of the two applies before any new licence is bought.

Let's build what's next — together.

Whether it's setting up your India GCC, modernizing your enterprise stack, or hiring 50 engineers in 30 days — we'd love to scope it with you.

Schedule a Call → Email Business Team