Oftentimes, brands selling into retail already have a rhythm for reporting and analytics, but for many of them that is where the routine begins and ends. There is a practical reason for that. Reports describe what happened, but deciding what to do about those insights is separate work that can get overlooked without clear ownership.
That is where a lot of the value in retail data gets lost. A large reporting library that nobody owns tends to go unread, while a smaller set of trusted dashboards that a team acts on every week can change how a business runs. What matters is not how much reporting a team produces, but whether the review ends in an action.
SPS Analytics turns fragmented retail sales, inventory, and item performance data into a clear, connected foundation. Information from retailers, distributors, ecommerce marketplaces, and owned channels is standardized, enriched, and aligned to your product catalog, so analysis stays consistent from one trading partner to the next. Here are five questions that foundation makes easier to answer, and the decision that follows each one.
Where Does Inventory Need Attention?
The Challenge
Inventory problems are usually easy to explain after the fact: Stock builds up in slower locations while demand grows somewhere else. But by the time the gap is revealed, it has already cost something, either in markdowns on one side or lost sales on the other.
What You Can See With SPS Analytics
In SPS Analytics, on-hand inventory, sell-through, and weeks of supply data sit next to current sales, so a slowdown and the stock position behind it show up in one view. Where the retailer shares store-level data, teams can run the same comparison by store and by SKU. When stock is tight and units have to be split across accounts, you can filter data by retailer, region, channel, and product to give that discussion a shared starting point.
The Decision
The choice in front of the team is which inventory situations get attention this week, and what response each one gets. The options are usually a short list: Raise it with the retailer, change what ships next, move units toward the locations where demand is stronger, or check whether the problem is shelf execution rather than supply. When stock is tight, the same evidence helps inform which accounts should receive the next units.
SPS Analytics shows where inventory and demand look out of step so brands can act accordingly.
Which Products or Stores Are Underperforming?
The Challenge
A retailer can look healthy in total while specific SKUs, regions, or doors quietly drag. Aggregate numbers average that away, so the weak parts stay hidden inside a figure that looks acceptable.
What You Can See With SPS Analytics
Revenue and unit performance break out by retailer, product, region, and SKU. Teams can rank top and bottom performers, compare sell-through across accounts or channels, and see where the product mix has shifted. When possible, brands can see year-over-year comparisons. Margin appears where the retailer supplies what is needed or the supplier provides cost information. Store-level detail is available where the retailer shares it.
The Decision
The decision is where the sales team should direct its attention, and which underperformance is worth acting on at all. Some of it is seasonal or expected, and leaving it alone could be a valid answer. The rest usually traces to the following causes: The product is not selling, it is not stocked, the mix has moved toward lower-margin items, or one region is behind the others.
How Did a Promotion Affect Sales?
The Challenge
Promotions tend to get planned carefully and reviewed loosely, and the results often surface weeks after the event has closed. Teams can end up repeating what felt successful and dropping what felt flat, without a clear read on either.
What You Can See With SPS Analytics
Sales and unit performance across the promotion window can be compared against the weeks before and after it, which shows how that period differed from a normal one. The same comparison holds at the retailer, product, and region level, so a team can see where the response was strongest instead of treating the event as one number. Inventory position going into and coming out of the window sits alongside it. Sell-through during the promotion can be set against a typical week.
The Decision
The choice is which events are worth running again, and in what form. That usually breaks into narrower questions: whether the accounts that responded are the ones the event was aimed at, whether the products that moved were the intended ones, and whether there was enough inventory in the right places to meet the demand. A promotion that sold well but ran out early is a different problem from one that never moved at all.
SPS Analytics shows what happened across the promotion window. Separating a real response from normal seasonal movement requires interpretation, and that work stays with the team.
Where Might Assortment Need To Change?
The Challenge
Two retailers rarely carry a brand the same way. One could take a narrow selection, while another could take most of the catalog, and a third could stock the range but only in some of its locations. Those differences are hard to see when each account reports separately, so a catalog that looks well distributed in total can be thin in specific places.
What You Can See With SPS Analytics
Performance breaks down by retailer, product, region, SKU, and location, which shows what is carrying the business rather than what the team assumes is carrying it. Assortment depth can be compared across accounts, so the gap between a partial selection and a full one is visible in one place. Sell-through and weeks of stock by item separate two situations that look the same in a sales report: an item that is not selling, and an item that is not stocked.
Sunday Golf, a small team managing a catalog of roughly 120 SKUs, found one major account carrying 14 items while another carried the full catalog across 104 locations. That gap had existed for a while, but it became actionable once the two accounts could be compared in the same view using SPS Analytics.
"It feels like you actually know what you're doing versus guessing."
Galen Brunelle, Co-Founder, Sunday Golf
The Decision
Using this information, brands can decide which assortment gaps are worth a closer look and which are fine as they are. Some accounts carry a narrow selection for good reasons, including shelf space, category strategy, or a decision the buyer still stands behind. For the rest, the team decides which items to build a case for expanding and which are candidates to scale back.
What Should the Account Team Prioritize Before a Retailer Meeting?
The Challenge
Line reviews and buyer meetings often get prepared from whatever was available that week, such as partial information, or a report that is already a couple of weeks old. The team ends up responding to the buyer's numbers instead of arriving with its own, and the meeting turns into a review of the retailer's view of the relationship.
What You Can See With SPS Analytics
Sales, inventory, sell-through, and weeks of stock can be filtered to the single account the meeting is about, so the prep matches the conversation. The same items can be compared against the rest of the business. That shows whether a slow seller at one retailer is slow everywhere or only there. Tables can be exported for use in meeting preparation and follow-up.
The Decision
Teams can decide what is brought to the meeting and what to leave out. A line review rarely has room for everything, so the work is narrowing to the few points worth the buyer's time. An ask backed by the retailer's own sales and inventory numbers is easier for a buyer to act on.
Where To Start
For many brands, these decisions don’t require new data. Instead, they require the data they already have to be organized so that acting on it takes less work than assembling it.
The teams that get there tend to review the signal, add the context only they have, choose an action, name the person who owns it, and come back later to see whether it worked. SPS Analytics supports the investigation and the evidence behind it. The decision stays with the people who know the business.
Ready to see how SPS Analytics can help you transform your retail data into actionable insights? Learn more about SPS Analytics or request a demonstration.