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Acumatica Distribution Case Study

Andover Fabrics Grows Bookings 86% With Acumatica

Booked Revenue Up 86% in Four Months

How Andover Fabrics replaced Microsoft Dynamics SL with Acumatica Distribution Edition and a BigCommerce B2B storefront.

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About Andover Fabrics

A Century-Old Quilting Fabric Distributor in New York

Andover Fabrics is a century-old, family-owned company that distributes quilting fabric to 2,000 quilt stores. Shops buy its fabric by the yard or by the bolt. Andover also sells designs from its sister company, Makower UK, in the US.

Industry
Distribution: quilting fabric
Location
New York, NY
Customers
2,000 quilt stores
Employees
10 to 50
Revenue
$10M to $50M
Platform
Acumatica Distribution Edition
Integration
BigCommerce
System replaced
Microsoft Dynamics SL

At a Glance

Record Bookings Once the New Storefront Launched

Results Andover Fabrics reported after moving to Acumatica Distribution Edition and connecting it to BigCommerce.

86%
More Booked Revenue in the First Four Months
Hours
To Load New Fabric, Down From Days

The Challenge

A Hand-Loaded Catalog and Orders by Phone

Andover ran on Microsoft Dynamics SL, a system that was being sunset, and much of its data was entered by hand. Loading 500 new SKUs took a month, and the team did it five times a year.

Wholesale customers had to call to place orders. They could not see live stock levels or back-order status, which quilters rely on when they plan complex projects. Customer complaints were growing.

Andover needed a cloud ERP that automated the manual work and fed an online store its B2B customers could buy from directly.

A month per catalog load

Each batch of 500 new SKUs took a month to load, five times a year.

Orders by phone

B2B customers had to call Andover to place an order.

No view of stock

Buyers could not see real-time stock levels or back-order status.

Rising complaints

Customers found the old online store inconvenient, and complaints grew.

The Solution

What Acumatica Distribution Edition Changed

Adam Weinstein, Andover's president, compared several cloud options and chose Acumatica Distribution Edition for the company's next stage of growth. It covered Andover's workflows end to end, and its open API let third-party applications connect to it.

  1. Product data entered once

    Each stock item in Acumatica holds the product attributes the website needs. A connector carries those attributes and inventory levels from Acumatica to the website. Loading new fabric to the catalog and website takes hours instead of days.

  2. A B2B storefront on BigCommerce

    The BigCommerce B2B storefront was adapted to Andover's units of measure, so shops order by the yard or by the bolt. Wholesale customers place orders online. Booked revenue rose 86% in the first four months after the integrated site launched.

  3. Live yardage on the website

    Stock data flows from Acumatica to the storefront. Buyers can search by color, designer or pattern and check what is available. Customers see yardage availability in real time.

  4. Shoppable catalog pages

    The attributes on Acumatica stock items feed the storefront, which turns them into pages a customer can order from. Andover can send a customer its whole catalog as one shoppable page.

  5. Sales reporting by item

    Andover now tracks KPIs it did not have before. When Makower UK asked how much of its design range Andover had sold in the US, a sales-by-item report answered it, and a line-by-line check confirmed the figure. US sales of Makower UK designs grew 99.6% from 2024 to 2025.

The Result

Record Revenue and Record Book-Ahead Sales

Andover reports record revenue and record book-ahead sales since it moved to Acumatica and connected BigCommerce. Its president describes the online store, once one of its greatest weaknesses, as one of its biggest strengths.

Finance

Financials and intercompany accounting in Acumatica.

Inventory

Stock items carry the attributes the website shows.

Sales

Wholesale customers order online through BigCommerce.

Reporting

New KPIs, including sales by item.

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