Supply chain planning software ROI is the value of better planning decisions, such as lower inventory, higher service, fewer lost sales and less waste, set against what the software and its rollout cost. You measure it against a baseline taken before go-live, using the same KPI definitions before and after. The first number to check is whether planners actually execute the system’s recommendations, because only executed decisions produce results you can attribute to the software.
What Supply Chain Planning Software ROI Means
A planning system produces recommendations: how much to order, where to send stock, what to produce, which truck carries which load. Value appears only when those recommendations are good enough to run, and when they run more often than the manual plans they replace.
The cost side is easier to list. It covers the subscription, onboarding, the time of your own planners and IT staff during the project, and any data cleanup that has to happen first. The benefit side sits in a handful of operational KPIs, and most of the work in an ROI case is choosing them, defining them and measuring them honestly.
For the role a vendor’s team plays after go-live, see our post on customer success and long-term SaaS ROI.
The KPIs That Carry the Value
These are the measures most planning business cases rest on. Pick the ones your project is meant to move and leave the rest out.
- Inventory: inventory value, days of cover and excess or obsolete stock. Lower inventory at the same service level releases cash and cuts carrying cost.
- Service and availability: fill rate, OTIF and on-shelf availability. These show whether lower stock came at the customer’s expense.
- Lost sales: demand you could not meet because the item was out of stock. It has to be estimated, usually from stock-out periods and the forecast for those periods, so agree the method before go-live.
- Waste: write-offs on short shelf-life products, as a share of sales. For grocery and fresh categories this often matters as much as inventory value.
- Transportation cost: cost per unit shipped, load fill and truck utilization, where the project covers fulfillment and transport.
- Planner productivity: hours per planning cycle, or SKU and location combinations per planner. Time saved only counts if it goes to work that improves results.
- User acceptance rate (UAR): the share of executed planning decisions that go live with no planner edits.
Why Recommendation Quality Decides Acceptance Rate
Acceptance tells you whether the other numbers belong to the software. If planners rewrite half the recommendations, any inventory or service change is a mix of the system’s logic and the planners’ edits, and nobody can say which part paid off.
A high acceptance rate depends on recommendation quality. Planners stop editing when the plan already accounts for the constraints they used to fix by hand: pack sizes, shelf space, truck capacity, supplier lead times. So acceptance is a leading indicator. It moves weeks before inventory and lost sales settle, and a low rate early on points to a model or data problem to fix before the business KPIs can improve.
Record a reason code whenever a planner does edit a recommendation. Reason codes show which SKUs get changed most and why, which turns each edit into a fix for the model. Solvoyo explains how it measures this on its user acceptance rate page.
How Do You Set an ROI Baseline Before Go-Live?
The ROI figure depends on the baseline behind it. These habits keep it defensible:
- Take at least a full year of history for each KPI, so seasonality does not pass for improvement.
- Write down every formula. Inventory at cost or at retail, fill rate by line or by unit, lost sales from which forecast.
- Compare like with like. Year over year for the same categories and stores is simpler to defend than a before and after across a changing network.
- Log what else changed. New stores, price changes, a new DC or a supplier switch can move the same KPIs.
- Where you can, keep a control group of categories or regions on the old process for a few months.
İstegelsin, an online grocer, measured its fresh produce results this way: year over year against the same fresh categories that ran through the new crossdock allocation engine.
Time to Value: What to Expect and When
With Solvoyo, a production-ready configuration takes about 12 weeks, and customers typically see measurable business results within three to four months. The first weeks go to data and design; recommendations then run in parallel with the current process and pass structured acceptance testing before go-live.
Results usually arrive in this order:
- First, acceptance rate and planner time, because they change as soon as planners work from the new recommendations.
- Next, inventory and service, once enough replenishment cycles have run for stock levels to adjust.
- Last, lost sales and waste, which need a full season or a year-over-year comparison to read cleanly.
Plan the ROI review on the same schedule. Unilever’s published results, for example, were measured six months after go-live.
What Published Results Look Like
The figures below come from Solvoyo’s published case studies. Each was measured on a different scope and starting point, so they are not comparable with each other and are not a forecast for your project.
| Company | Scope | Published results |
|---|---|---|
| Studenac Market | Replenishment across 1,000+ stores | 8x planner productivity, 81% user acceptance rate, 55% fewer lost sales, 15% less excess stock, 8% better availability |
| Mopas | Store replenishment and purchase orders, 121 stores | 93% acceptance of store replenishment decisions, 58% fewer lost sales, 14% lower inventory cost |
| A101 | Demand-driven replenishment and DC purchasing | 50% fewer stock-outs, 18% less inventory |
| Unilever | Autonomous planning and analytics | 8x to 12x faster daily and weekly planning, service levels up 600bps, inventory overstock down 410bps |
| İstegelsin | Fresh produce crossdock allocation | Fresh fill rate from 72% to 86% within a year, with no increase in waste ratio |
Studenac’s case shows why the acceptance figure belongs next to the others: 81% acceptance in its first year, with productivity and lost sales already moving. The full story is in the Studenac case study.
How Solvoyo Approaches Planning ROI
Solvoyo is a supply chain decision automation platform. It tracks acceptance on every decision, next to the business KPIs those decisions are meant to move, so each planner edit points to a constraint or data gap the model can take on. With those gaps closed, over 95% of plans execute untouched, sustained across enterprise clients.
The KPIs are agreed at the start. Solvoyo’s Customer Success engineers co-define service, cost and cash targets with each customer, then track them through six months of hypercare and a weekly planning cadence. When acceptance dips, they add the missing cause to the model in 3 to 6 week sprints. To see how this would apply to your own baseline, request a demo.
Frequently Asked Questions
Measure the KPIs the project is meant to move, such as inventory value, service level, lost sales, waste and planner hours, over a baseline period before go-live. Measure them again with the same definitions after go-live, convert the changes into money (released cash, carrying cost, recovered margin, saved hours) and divide the net gain by the total cost of the subscription, onboarding and internal project time.
It depends on scope and data readiness. Solvoyo reaches a production-ready configuration in about 12 weeks, and customers typically see measurable results within three to four months. Acceptance rate and planner time move first; inventory and service follow; lost sales and waste usually need a full season or a year-over-year comparison.
Start with user acceptance rate, the share of planning decisions executed with no planner edits, because it shows whether the recommendations are good enough to run. Then track the business KPIs those decisions affect: inventory and days of cover, fill rate or OTIF, lost sales, waste on perishables, transportation cost and planner productivity.
