Sherrill Furniture Brands: A Case Study
How Sherrill Furniture Brands reduced the time spent
preparing product data from months to a couple of hours
“Before Amber Engine, what would happen was… product development would have a spreadsheet with their sample information, and they would capture the minimal amount of product data. Then, as products came to launch, we would have to go back and get as much information as we could.”
— Lacey Griffith, VP IT Sherrill Furniture BrandsThe existing product data process at Sherrill Furniture took months, as Lacey Griffith, VP of IT describes it.
Half a dozen people at Sherrill each played a role in collecting product data by digging through development spreadsheets, AutoCAD, and a dozen other locations when it was time to prepare data for distribution. The time it took was unsustainable.
When the company decided to work with Amber Engine, Lacey was excited to find an opportunity for a real partnership. It was “the flexibility” of the Amber Engine team that sold them on the PIM, Lacey says. Amber Engine listened to Sherrill Furniture to work towards solutions that met exactly what they needed.
“We have 90% of the data we need through our [go-to-market] process now, and it’s all centralized, so it’s easier to find.”
— Lacey Griffith, VP IT Sherrill Furniture BrandsThe next-gen Amber Engine PIM provided Sherrill Furniture with the tool they needed to build a dynamic product data process and collect data early in one central location. The time spent preparing data was reduced from months to “a couple of hours,” says Lacey, and the PIM now sits at the center of a data ecosystem that multiple internal processes revolve around.
Time preparing data for distribution was reduced from months to “a couple of hours."
A new, “mature” data process rooted in a centralized PIM captures 90% of data during development
Dropped ~10% of attributes up front then added ~200% more attributes as more data was found
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Learn more about how Sherrill Furniture Brands reduced the time preparing data for
market to a matter of hours, and how other internal processes benefitted, too.