Tag: POS Reporting

Do You Really Know How Your Products Are Performing?

Point of Sale Data

Suppliers count it as a win when they place a product line with a major DIY chain like Home Depot or Lowes. But understanding the details of how your products are selling can enable you to maximize your efforts and make the most of the typically slim margins you’re able to negotiate. The good news is that your retailers give you the information you need every week. But you need to use the right tools to turn their raw data into actionable insights.

Get the data

Major retailers routinely make their point-of-sale (POS) transaction data available to their suppliers, but the complexities of collecting and digesting it in a reasonable time frame get in the way of actually using the information. While some retailers use the standard EDI 852 format to deliver their weekly cash register data to suppliers, each retailer modifies the content of those files to meet their own needs. That means you need to convert the files to a common format before you can even start to analyze them. And some retailers don’t use the standard format, preferring to send spreadsheets or simply raw text files, further complicating the job of standardizing the data and readying it for analysis.

Look inside

The good news is that once you’ve cracked the code and converted all that POS data into information, you can look at trends and results from a variety of different perspectives. From a high level, the data can let you know what regions and which stores are selling each item. And analysis platforms like Accelerated Analytics  go even farther. According to Jennifer Freyer, Director of Sales and Marketing for Accelerated Analytics, “Suppliers can take advantage of different reports, easy to read dashboards, and geographic heatmaps. It’s easy to click and see where inventories are too high or too low, then drill down to store level for specifics. They can track promotions and see which stores are hitting or not hitting sales goals.” By using those kinds of tools you can decide to adjust your product mix to better allocate items that may be in short supply.

Make it a reality

Because POS data is delivered weekly, you can look at trends and predict item performance down to the shelf level in order to plan your recommendations to store buyers. But most vendors don’t have the time and technical ability to deal with the inbound data, much less the complexity of converting the various data files into a common format, then apply the analytical processes needed to produce easily understandable results. Fortunately services are available from experts in doing exactly this kind of work and can do the heavy lifting for you. They deliver a variety of reports that have been field tested and designed based on common issues suppliers face and they are customizable to meet the specifics of your business, products, and customers.

Suppliers can gain insights and help to direct their field staff to look for and correct conditions that can improve sales of their products, like improper placement on shelves. But of possibly more impact may be the ability to assist the retailer’s product managers with their responsibilities by proactively advising them on opportunities to make changes in product assortments, then track and report those results to show their effectiveness. Forward thinking suppliers are already taking advantage of the data their customers give them to sell more of their products.

Scott Koegler is a technology journalist with 20 years experience writing about business, computing and technology topics.

Calculating the cost of out of stock’s

Vendors know an out of stock or empty peg is a very bad thing, so it’s hard to understand why most vendors are not managing their retail sales at a store and item level. Here is what we calculated for a vendor this week to estimate their lost sales due to out of stocks. The results were pretty eye opening.

This vendor has 4 retail customers. Retailer 1 has 3,600 stores, retailer 2 has 2,500 stores, retailer 3 has 1,800 stores and retailer 4 has 950 stores. Total retail stores = 8,850. Average in-stock % across all four retailers = 98% so approximately 177 stores are out of stock each week. Weekly unit sales for their top selling items average 6 per week so approximately 1,062 unit sales are being lost each week, which is roughly $15,000 in lost sales per week.

In other words this vendor is loosing over $750,000 per year in sales.

Calculating Sell-Thru

Retail Sell-Thru

Sell through (or sell-thru) is a very useful metric for vendors to use in evaluating item performance, because it provides a composite measure of sales and inventory. But like many business measures, there is more than one method of calculating sell through.

The most common calculation is: Sell Thru % = Units Sold / (Units On-Hand + Units Sold). Sell thru is typically evaluated on a daily basis for fast moving products or weekly for slower moving or replenishment based products.  A higher value is better, indicating your sales velocity is good and your inventory is appropriately forecasted. If sell thru is low, this indicates either poor sales or too much inventory. In most cases, sell-thru for an item is compared in recent periods like current week and last week, as well as in aggregate across several months or even a year.

When evaluating sell-thru, it is also useful to group together products which have been selling for a similar period of time and/or which are sold into the similar store types. For example, comparing sell-thru for a product with 5 weeks of selling activity against a product with 20 weeks of selling activity most likely will not produce a useful comparison. In the same way, comparing sell-thru for a product in a group of stores in a highly affluent area is not likely to compare favorably to a group of stores with a low income level.

Most retail buyers have a set sell-thru percentage they use to judge vendors based on product category or department.  It is important for vendors to discuss the sell-thru expectations with the buyer in order to align with those objectives.

For reference, we’ve compiled sell-thru percentage data that you can use as a benchmark.