Put the right inventory in the right place before sales are lost and working capital gets trapped.
Inventory problems rarely look simple. A business can be overstocked overall and still stock out on what customers actually want. Inventory & Demand Intelligence connects stock, sales, purchasing, locations, ageing and lead-time signals so management can see where inventory is helping growth — and where it is tying up cash or creating avoidable risk.
28 days · Baseline → Diagnose → Prioritise → Act → SystemiseTotal inventory is above plan. The items customers want are not.
Target cover band for this business: 30–45 days. Three positions sit far above it and two sit far below.
ILLUSTRATIVE — SYNTHETIC DATA Days of cover by category and location, constructed for explanation only. Not client data, not a benchmark, and not an indication of typical inventory performance.
What this helps management answer
- Which categories and locations are carrying too much inventory?
- Where are availability and stock-out risks building?
- Which inventory is genuinely ageing or excess?
- Which inventory is necessary service-level stock?
- Where should management consider transfer?
- Where should replenishment increase?
- Where should purchasing reduce or pause?
- Which locations hold stock that may perform better elsewhere?
- Where is working capital tied up without enough inventory productivity?
- Where does available demand justify additional inventory?
These are contradictory-looking questions on purpose. Too much stock and too little availability routinely exist in the same business at the same time.
Lower inventory is not automatically better inventory.
Inventory exists for a reason. Before anything is called excess, that reason has to be tested rather than assumed.
What inventory is there to support
- Customer demand
- Availability
- Lead-time protection
- Service levels
- Growth
- Operational continuity
So we do not treat all inventory as trapped cash.
Stock is not waste because it is large, and it is not excess because it is old. The management question is narrower and harder: is this inventory economically and operationally justified? Sometimes the honest answer is that you need more of it, not less.
From reporting inventory to managing inventory decisions
- Disconnected stock reports
- Aggregate inventory totals
- Reactive stock transfers
- Last-minute purchasing
- Ageing discovered late
- Stock-outs treated separately from excess
- Working capital viewed separately from availability
- Ageing risk
- Excess risk
- Availability risk
- Inventory productivity
- Location and category imbalance
- Purchase requirements
- Transfer opportunities
- Working-capital exposure
- Priority actions
The shift is from reporting inventory to managing inventory decisions.
From signal to decision, with the evidence attached
The actions that can come out of it
How the 28-day engagement works
Align
Day 0Agree what we are looking at and what “good” means here, before any analysis begins.
- Business objective
- Inventory definitions
- Stock ownership
- Locations
- Categories
- SKU and UOM standards
- Inventory cycle
- Measurement cycle
- Data readiness
Baseline & Reconcile
Days 1–7Build one reliable starting point. No recommendations at this stage.
- Inventory
- Sales
- Purchases
- Receipts
- Locations
- Categories
- SKU and UOM
- Valuation
- Lead times
Find the Patterns
Days 8–14Separate stock that is genuinely a problem from stock that is doing its job.
- Ageing
- Potential excess
- Slow movement
- Availability risk
- Stock-out exposure
- Category and location imbalance
- Inventory productivity differences
- Demand patterns
- Lead-time risks
Slow-moving stock and strategically necessary stock can look identical in a report. Distinguishing them is most of the work.
Prioritise Action
Days 15–22Build a client-owned Inventory Action Register. Each entry carries evidence, owner, rationale, priority, expected effect and decision status.
Systemise & Readout
Days 23–28Close with one 90-minute management Readout and a process that runs after we leave.
- Connected inventory views
- Action register
- Exception logic
- Decision rules
- Ownership
- Review cadence
- Inventory Decision Operating Playbook
The objective is not a one-time stock analysis. It is a repeatable decision process.
Measured on your inventory cycle — and honest about what movement means
One later written update is included. The date is chosen at Day 0 against your replenishment cycle, lead time, sales cycle, purchasing cadence, seasonality and the time inventory actions actually need to mature. It is not an arbitrary calendar date.
Day 45
Short replenishment cycles and fast-moving categories, where movement is readable early.
Day 60
Moderate lead times and purchasing cadences, where transfer and replenishment effects need longer to show.
Day 90
Long lead times, seasonal ranges or slower cycles, where anything earlier would be reading noise.
What we measure
- Ageing movement
- Availability
- Sell-through
- Stock turn
- Priority actions completed
- Transfer completion
- Purchase reduction and deferral
- Markdown exposure
- Stock-out exposure
- Working-capital movement
Working capital released is not profit.
Releasing inventory earlier moves cash. It does not, by itself, create revenue, profit or margin. We report inventory movement and economic value as two separate things, and we will not present the first as though it were the second.
What the client receives
Inventory Baseline & Definition Register
A reconciled starting point: definitions, location structure, inventory status rules, ageing logic, availability logic — and an explicit statement of where the data cannot support a confident view.
Ageing, Excess & Availability Risk View
Ageing, potential excess, slow movers, stock-out exposure and availability risk — with necessary buffer and service stock identified separately. Stock is not labelled excess merely because it is old.
Inventory Productivity & Working-Capital View
Productivity across category, channel, location and stock group, using stock turn, sell-through, days inventory, value, availability, ageing and working-capital concentration where each is genuinely supportable.
Allocation, Replenishment & Transfer Action Register
Evidence-led actions covering transfer, replenishment, reduction, purchase deferral, location rebalancing, investigation and exit-stock review. All execution remains client-owned.
Inventory Decision Operating Playbook
Review cadence, ownership, decision rules, exception thresholds, escalation, the buying and replenishment review process, the transfer review process, management reporting, and automation readiness where justified.
Two further modules — only where the evidence supports them
Demand Forecast & Stock-Out Risk View
Built from sales history, seasonality, trend, lead times, availability and purchasing history — but only where data quality genuinely supports it. We do not guarantee forecasting accuracy, and where the data is insufficient we omit the module rather than manufacture confidence.
Markdown, Promotion & Exit-Stock Economics View
Aged inventory, realised price, cost, markdown and promotion history, sell-through and disposal exposure. Detailed buyer-facing price and discount economics stay where they belong — in Pricing & Margin Intelligence.
The register management works from
One prioritised list across category and location, with the risk and the recommended action attached to every line.
| Category / SKU group | Location | Cover (days) | Age | Demand signal | Availability risk | Productivity | Recommended action |
|---|---|---|---|---|---|---|---|
| Bestsellers | Online | 7 | — | Rising | Stock-out risk | High | Replenish and review purchase cover |
| Seasonal | Tier-2 stores | 12 | 40d | Steady | Transfer candidate | Moderate | Transfer from DC before reordering |
| Core range | Metro stores | 41 | 55d | Steady | Healthy | Healthy | No action |
| Seasonal | DC | 78 | 130d | Softening | Ageing | Weak | Exit-stock review before next buy |
| Core range | DC | 96 | 72d | Steady | Excess risk | Moderate | Defer the next purchase, hold the stock |
| Long tail | All stores | 112 | 180d | Thin | Data confidence low | Unclear | Investigate before deciding anything |
ILLUSTRATIVE — SYNTHETIC DATA Constructed for explanation only. Not client data. Nothing here implies a typical inventory reduction, an expected cash release, a guaranteed sell-through or stock-turn improvement, or a typical return.
A management decision view — not another inventory system
Your ERP or WMS almost certainly holds the stock records already. In most businesses the problem is not that the data is missing.
- The records sit in systems that do not talk to each other
- Nobody owns the decision the records imply
- Exceptions are found late, by accident
- Excess and stock-out are reviewed by different people
- Purchasing runs on cadence rather than on evidence
The absence is a decision process, not data.
This engagement turns information you already hold into three plain answers: what needs attention, why it needs attention, and what management should decide. It installs no software and replaces no system.
How AI is used — and where it stops
AI and analytics may assist
- Pattern detection
- Demand analysis
- Exception detection
- Ageing classification
- Stock imbalance analysis
- Forecast support
- Scenario support
- Recommendation drafting
Humans remain responsible for
- Purchasing
- Replenishment
- Transfers
- Markdowns
- Price changes
- Write-offs
- Vendor commitments
- Range decisions
- Service-level decisions
AI assists. Humans remain accountable.
Is this the right starting point?
A good starting point when
- Inventory is commercially material
- Stock is held across multiple categories or locations
- Management experiences both excess and availability problems
- Reliable inventory and sales history exists
- Inventory decisions materially affect working capital, availability or sales
- A named inventory, merchandising or supply owner exists
- Leadership is willing to act on evidence
Not the right starting point when
- Inventory is immaterial
- The requirement is simply an ERP or WMS installation
- The business wants outsourced buying
- The client wants autonomous replenishment
- Data cannot be reconciled
- The primary issue is pricing rather than inventory
- The primary problem is whole-store or location performance rather than stock itself
- Physical stock accuracy is so poor that a stock count or data-remediation project must happen first
Where the foundation is unreliable we will recommend data remediation before producing false precision — and we will not quietly absorb a master-data rebuild into this engagement.
What it costs
India · 28-day engagement
- On confirmation
- 50%
- At the Day-28 Readout
- 50%
- Day-45 / 60 / 90 update
- Included, and not a payment trigger
No recurring monitoring is included. India public pricing only — pricing for another geography is published once that country variant has separately cleared pricing.
What one engagement covers
- One legal entity, brand or market
- Up to 3 inventory-bearing commerce channels
- Up to 50 selling or stocking locations, plus up to 2 DCs or warehouses
- Up to 8 material categories or merchandise groups
- Up to 5,000 active SKUs for aggregate analysis
- Up to 200 item-location or category-location exceptions requiring individual judgement
- Up to 60 priority inventory actions
- Up to 8 source exports
- Up to 2 million sales, inventory, purchase and receipt rows as a secondary data cap
- Up to three 45-minute stakeholder interviews
- One 90-minute management Readout
- One later measurement update
What the engagement needs to run
- Stable SKU identifiers
- Stable UOM definitions
- Stable location identifiers
- Current inventory
- A usable valuation basis
- At least 12 months of sales history
- Purchase data
- Receipt data
- Lead-time data appropriate to the decisions being considered
- Materially reconcilable stock
- A named inventory owner
If the foundation is not there, the honest recommendation is to fix it first. Precision built on unreliable master data is worse than no analysis at all, because management acts on it.
Included
- Inventory baseline and definition register
- Ageing, excess and availability risk view
- Inventory productivity and working-capital view
- Allocation, replenishment and transfer action register
- Inventory decision operating playbook
- Management Readout
- One later measurement update
Not included
- ERP implementation
- WMS implementation
- Physical stock counting
- Full master-data reconstruction
- Outsourced purchasing
- Outsourced merchandising
- Autonomous replenishment
- Autonomous buying
- Autonomous transfers
- Autonomous markdowns
- Supplier negotiation
- Custom forecasting-platform development
- Multi-country inventory optimisation
- Ongoing managed monitoring
What this engagement owns — and what it does not
Inventory & Demand Intelligence owns what stock, where, when and how much. Where the real constraint sits elsewhere, the honest answer is a different starting point — and we do not count the same value pool twice.
We do not blur these boundaries to increase scope.
Start focused. Transform where the evidence leads.
Inventory & Demand Intelligence must create standalone value. After the engagement, the choice is yours.
Continue internally
Run the action register and the operating playbook. They are yours and they work without us.
Repeat periodically
Run the inventory review at commercially useful intervals — a season, a range change, a new location cluster.
Fix the data foundations
Where inventory or master-data quality turns out to be the actual constraint, that becomes the priority rather than more analysis.
Implement selective automation
Only when the process is stable, the rules are understood, the data is trustworthy, human governance is clear and the economics justify it. In that order.
Broader retail transformation
Where inventory issues reveal connected problems across pricing, assortment, stores, network, operations, merchandising or management intelligence.
Put inventory where demand and economics justify it.
Bring us the inventory problem, the available data and the sales, margin or working-capital outcome management wants to improve. We will determine whether Inventory & Demand Intelligence is the right starting point.