Inventory Optimization Consulting: What to Expect

Inventory optimization consulting is outside help to reduce the cash tied up in stock while protecting, or improving, the service your customers get. It is not a one-off clearance sale or a blanket cut. A good engagement looks at why you hold the inventory you do, separates stock that is needed from stock that is not, resets the policies that drive buying, and leaves a process that keeps inventory right-sized. This page describes what to expect from inventory optimization consulting: the usual phases, what you receive, what you need to provide, how results are measured, an illustrative segment-level calculation with checked arithmetic, and the warning signs of a weak proposal. It reflects how we work at Newtown Analytics and is part of demand planning and inventory optimization. It follows how to hire an S&OP consultant and team structure for growing companies, and connects to the fractional demand planner guide, how to hire a demand planning consultant and cash flow management.

What we do and do not do

Newtown Analytics is a demand planning and inventory optimization consultancy. We are not an accounting, audit, tax, legal or financing firm. We do not sell or resell software. Inventory Health & Optimization is the core of our work with consumer product companies with revenue between $20 million and $300 million, and it often connects to Demand Forecasting, S&OP/IBP Advisory, Analytics & Planning Automation and Fractional Demand Planning Leadership.

The phases

1. Diagnose. Understand the current position: how much stock, where it is, how old it is, how it compares with forward demand, what service you deliver, how accurate the forecast is, and how the buying process works. This is the health check. See the inventory and forecasting health check.

2. Size the opportunity. Estimate the excess to clear and the shortages to fix, with ranges and assumptions, and the cash and cost effects. Separate quick wins from structural changes.

3. Design the policy. Segment items, set service targets, calculate safety stock and reorder points from real variability and lead times, and define order rules. See safety stock formula and ABC analysis for inventory.

4. Act on the stock. Build and fund plans to clear aged and excess stock through the best available routes, and to correct shortages. See markdown planning and excess and obsolete inventory.

5. Embed the process. Set up the monthly routines, reports and responsibilities, train the team and document the method so that the gains persist.

6. Review and extend. Compare results with the outcomes, adjust, and decide what to tackle next.

What you receive

Typical deliverables include a fact base with agreed definitions, a quantified opportunity with ranges, an item-level action list, a policy model, usually in Excel, that your team can run, reports for the monthly review, a clearance plan with owners and dates, documentation, and training sessions. We aim to leave you with methods and models you own. We state what we could not assess and where the results depend on assumptions.

What we need from you

A named sponsor who can make decisions, and an internal lead who can work with us weekly. Data: item master with cost and lead time, sales history, inventory by location with age, open orders, forecasts and service data. Access to buyers, planners, sales and finance for short interviews. Timely answers to questions. Willingness to act on the findings, including the uncomfortable ones, such as items that should be cleared or processes that should change.

How results are measured

Agree measures at the start and the baseline for each: inventory value and days of supply, the share of stock over 180 days, fill rate or in-stock rate on important items, forecast bias, and cash released. Report them monthly. Separate the effect of the engagement from the effect of changes in sales or market conditions where possible. Count the costs of clearing stock, such as markdowns and write-downs, alongside the benefits. See inventory write-downs.

An illustrative segment-level calculation

Suppose a company has $5.0 million of inventory in three segments, with days of cover that differ widely (hypothetical numbers). Segment A, the highest-volume items, holds $3.0 million at 45 days of cover. Segment B holds $1.5 million at 90 days. Segment C, the long tail, holds $0.5 million at 150 days. A policy review suggests target cover of 40 days for A (service target unchanged), 60 days for B and 75 days for C. If inventory value scales with days of cover for the same demand, the target values are 3.0 × 40 / 45 = $2.667 million for A, 1.5 × 60 / 90 = $1.000 million for B and 0.5 × 75 / 150 = $0.250 million for C. The total target is 2.667 + 1.000 + 0.250 = $3.917 million, a reduction of 5.0 - 3.917 = $1.083 million, or 21.7 percent. Check: 3.0 × 40 / 45 = 2.6667, and 1.083 / 5.0 = 0.2167. At a carrying cost of 18 percent, the annual saving is 1.083 × 0.18 = $0.195 million. Notice where the reduction comes from: A contributes only $0.333 million of it, B contributes $0.5 million and C contributes $0.25 million. The long tail and the middle contribute most of the release, while the most important items are protected. This is the logic behind segment-based policy, and it is why blanket cuts are both less effective and riskier. In practice the reduction takes time, because open orders must be adjusted and excess stock must be sold, and the numbers must be tested against variability and lead times, not days of cover alone.

Timeline and effort

The timeline depends on the size of the catalog, the quality of data and the speed of decisions. A diagnosis can take a few weeks. Policy design and the first clearance actions may take a few months. Embedding the process and seeing the full effect often takes longer, because inventory only falls as open orders land and sales proceed. Be wary of any proposal that promises a large release in a few weeks without detail on how.

Signs of a weak proposal

A promised savings figure before seeing data. A single answer for all items, such as a uniform cut. No attention to service. Dependence on a tool the provider sells. No plan for clearing aged stock. No transfer of method to your team. No measures or baseline. Reliance on statistics without explaining them to the people who will use them. Fees tied to inventory reduction alone can encourage cuts that hurt service, so look at the incentives.

Working with your finance team

Finance should be involved from the start. They provide cost, valuation and reserve information, review the accounting effect of clearing stock, and own the link to the cash forecast. Agree how recoveries and write-downs will be reported. Check any covenant or borrowing base implications before a large reduction. See how lenders evaluate your cash flow and working capital.

Next steps

If you would like to understand what inventory optimization could mean for your company, see our contact page and describe your products, channels and the problem you want to solve.

Common mistakes

Setting a target for inventory reduction without a service target. Cutting orders before understanding lead times. Clearing stock without a plan for what replaces it. Treating the project as a one-off with no routine to keep the gains. Leaving out finance. Not measuring the baseline.

FAQs

What is inventory optimization consulting?

Outside help to reduce inventory cash while protecting service, by segmenting items, resetting policies, clearing excess and embedding a process.

How long does it take?

It depends on scope and data. Diagnosis can take weeks, and the full inventory effect builds over months as orders and sales work through.

What will I get at the end?

An agreed fact base, policy models you can run, action lists, reports, documentation and training.

Does it hurt service?

It should not if done by segment with service targets. Blanket cuts are the risk, which is why measures include fill rate or in-stock rate.