Retail Merchandising
Planogram software
A buyer’s guide to the space-planning category: the four jobs these products do, what a seat actually costs, six things to check before the demo, and the shelf decision the drawing tool renders but does not make.
What planogram software is, in one line
It is a CAD tool for retail shelves with a rules engine attached. If you want the term itself explained, that is covered in the planogram glossary entry and the merchandising guide. This page assumes you already know what a planogram is and are deciding what to buy.
The one distinction worth getting right first is the one the vendors themselves draw. DotActiv puts it flatly in its own comparison: planogram software focuses primarily on shelf layout creation, while category management software extends beyond shelf design. Space planning executes an assortment decision. It does not make one. A team that buys a drawing program and expects it to say which SKUs to cut has bought the wrong half, and the longer version of that argument is on the category management platform page.
The four jobs, and who sells them
Three products come up in almost every shortlist: Blue Yonder Space Planning, which Blue Yonder’s own product FAQ calls the industry-standard planogramming solution; NIQ Spaceman, which NielsenIQ sells as a suite covering every step of the space management process; and DotActiv, which is unusual in the category for publishing its prices. They divide along these four jobs, and most evaluations compare them on the first while the budget is spent on the last.
Model the physical shelf
Fixtures, shelf heights, peg holes, gravity-feed racks, curved coolers, and the dimensions of every item that has to fit on them. This is the part that is genuinely hard and genuinely a CAD problem. Blue Yonder describes its Smart Fixture Library as modeling the physical constraints of everything from standard gondolas and pegboards to gravity-feed racks and curved coolers.
Place facings against a rule set
Minimum and maximum facings, days of supply, brand blocking, flow direction, eye-level bands, and vendor commitments. The rules are where a reset is either fast or a three-week argument, and they are the least demoable part of any of these products.
Generate at scale
One drawing is a drawing. Six hundred stores in fourteen clusters, each with a different bay count, is a production problem. Blue Yonder names Template Application, which swaps out fifty old products for fifty new ones in a single click, and NIQ describes Spaceman as automatically generating planograms across a suite that spans planning, data management and compliance.
Publish and check compliance
Getting the plan to the store, and finding out whether the shelf matches it. DotActiv sells this as TrueView, image recognition that verifies planogram compliance at store level. Compliance is a separate cost line from authoring and it is where most programs quietly stop.
Six things to check before the demo
Who holds the license, and how many you need
DotActiv publishes list pricing per license per year on its own pricing page: $0 for Free, $800 for Lite, $2,000 for Pro, $4,500 for Enterprise and $7,500 for Enterprise AI, with the higher tiers adding assortment and cluster optimization, floor planning and viewer seats. The enterprise suites do not publish a number at all. Work out the seat count before the demo, because a space team of six and a supplier network of sixty are different purchases at every vendor.
Item dimensions, and who maintains them
A planogram is only as good as the height, width, depth and case-pack data behind it. Nobody sells you that. Ask whose job it is to keep it current when a supplier changes a carton, and price the answer, because a stale dimension file produces plans that will not physically set.
How clusters are defined
Store clustering is where retail planogram software either localizes the assortment or paints every store with the chain average. The clustering logic usually lives outside the drawing tool, in the analytics you already have or the ones you do not, so check what format it expects and where it comes from.
Import and export formats, in writing
You will move planograms to a supplier, a compliance vendor, a labeling system, and eventually to a different space-planning product. Get the list of formats it reads and writes before you sign, not after, and confirm that an export round-trips back in without losing the fixture model.
Whether planogram optimization means rules or demand
Every vendor in this category uses the word optimization. Sometimes it means the software applies your facing rules quickly and consistently, which is real and valuable. Sometimes it means a demand model is choosing the space allocation. Those are different products at different prices, and the demo looks similar.
Where the sales data comes in
Blue Yonder describes Performance Highlighting as turning the planogram into a heatmap, overlaying financial data so items under a margin threshold color red. That is a rendering of numbers computed elsewhere. Ask which system computes them, at what grain, and how often it refreshes.
The decision the drawing cannot make
A 214-store grocery chain reset a 12-foot refrigerated functional-beverage set: 60 facings across five shelves, eight items, each facing five units deep, delivered twice a week. Space to sales indexes each item’s share of units against its share of facings. Days of supply is the shelf’s holding power divided by the daily rate of sale.
| Item | Facings | Share of facings | Units per store per week | Share of units | Space to sales | Days of supply |
|---|---|---|---|---|---|---|
| Cedar Rise Ginger 14 oz | 12 | 20.0% | 174 | 29.0% | 145 | 2.4 |
| Cedar Rise Berry 14 oz | 10 | 16.7% | 138 | 23.0% | 138 | 2.5 |
| Halden Lemon Yerba 12 oz | 9 | 15.0% | 96 | 16.0% | 107 | 3.3 |
| Halden Peach Yerba 12 oz | 8 | 13.3% | 72 | 12.0% | 90 | 3.9 |
| Northrop Cola Zero 12 oz | 7 | 11.7% | 48 | 8.0% | 69 | 5.1 |
| Northrop Root Beer 12 oz | 6 | 10.0% | 36 | 6.0% | 60 | 5.8 |
| Cedar Rise Turmeric 14 oz | 5 | 8.3% | 24 | 4.0% | 48 | 7.3 |
| Halden Hibiscus 12 oz | 3 | 5.0% | 12 | 2.0% | 40 | 8.8 |
| Total | 60 | 100.0% | 600 | 100.0% | — | — |
Read the last two columns together. The top three items are 68.0 percent of the units (29.0 plus 23.0 plus 16.0) sitting on 51.7 percent of the facings (31 of 60), and every one of them holds less shelf stock than the 3.5-day delivery cycle. The two worst indexes are the two items nobody wanted to discuss: Turmeric at 48 and Hibiscus at 40, together 6.0 percent of units on 13.3 percent of the space.
The reset that got approved delisted Hibiscus and cut Turmeric from five facings to two, freeing six facings, which went to Ginger (12 to 15), Berry (10 to 12) and Lemon Yerba (9 to 10). Lemon Yerba clears the delivery cycle at 3.6 days. Ginger and Berry both land at 3.0 days and still run out before the truck. Getting Ginger to 3.5 days needs 18 facings, 30 percent of the set for one item, which no buyer is going to sign.
A third delivery a week shortens the cycle to 2.33 days and clears both of them without moving a single facing. That is the finding, and no planogram tool produces it, because the answer is not on the shelf. It is in days of supply against the replenishment schedule. The delisting has a price too: 12 units per store per week across 214 stores is 2,568 units a week, and that is the worst case where none of it transfers to the rest of the set. Sizing that transfer honestly is the subject of SKU rationalization.
Where Scout fits
Scout produces the inputs the table above is built from, at store and item grain, off your own POS: units per store per week, share of units against share of facings, days of supply against the actual delivery cycle, the cluster definitions that decide which stores get which version of the set, and the delist candidates with the transfer risk attached rather than assumed. It can hold the item file with cost and retail alongside it, so the numbers feeding the reset and the numbers feeding the pricebook are the same numbers.
What that changes is the argument. A space review usually opens with a drawing and a room full of opinions about it. Opening with the space-to-sales column and the days-of-supply column turns the same meeting into two decisions with numbers under them, and the methodology for the first one is in shelf space optimization.
One boundary, stated plainly. Scout models the assortment and space decision. It is not a planogram or space-planning system: it does not draw the shelf, model fixtures or item dimensions, and it never publishes a planogram to a store. Your space-planning software does all of that, and it does it well. Scout tells it what the shelf should be holding and, afterwards, reads the POS to say whether the reset moved anything.
Related: Planograms and space to sales · Assortment optimization · Category plan implementation · Retail operations software
Tell us what you’re working on
A 30-minute conversation to scope fit. Pick a time that works for you.