Why Furniture Retailers Keep Coming Back to Endertech for Omnichannel Ecommerce

Furniture and mattress retail is one of the hardest categories in ecommerce, and most agencies never figure out why. It isn't just about pretty product photography or a fast checkout. It's thousands of SKUs with fabric, finish, and size variants. It's inventory that lives across a warehouse, a delivery fleet, and a showroom floor. It's an ERP like STORIS running the backoffice while a storefront like Shopify runs the front door - and both have to agree, in real time, on what's in stock and what it costs.

We've spent two decades building ecommerce and custom software, and a good chunk of the last several years going deep on furniture and mattress retail specifically. Here's what that expertise actually looks like in practice, and why it's hard to replicate without having done it before.

Omnichannel Is a Data Problem Before It's a Design Problem

Every furniture retailer we've worked with came to us thinking they had a website problem. What they actually had was a data synchronization problem wearing a website's clothes.

Take Terra Outdoor Living, a premium outdoor furniture brand running Shopify on the front end and STORIS on the back. Before we got involved, inventory updates were slow enough to cause overselling, and every order required manual re-entry between systems. We built real-time data flow in both directions: STORIS pricing and inventory feeding Shopify so shoppers always see accurate availability, and every Shopify order feeding straight into STORIS for fulfillment without a human retyping it. We layered in an "available to promise" feature so customers see real restock dates instead of a flat "out of stock," and we connected Shopify POS so in-store and online sales share one source of truth. That's the difference between a website and an omnichannel system — the second one doesn't lose sales to bad data.

We Pioneered the Shopify to STORIS Integration

STORIS is the ERP of choice for a huge share of furniture and mattress retailers, and it was never designed to talk to Shopify out of the box. We built the middleware that makes it work, and at this point we may have more real-world experience linking the two platforms than anyone in the industry.

Mattress Warehouse is the clearest proof. They came to us wanting a simple integration between their existing Shopify store and STORIS. Once we started digging, we found the real problem: SKU mismatches, undefined metafields, and no middleware capable of managing sync across 300+ stores and thousands of SKUs. So we built one. A dedicated middleware and CMS bridge became the canonical source of truth for product data, with import queues, ignored-SKU review tools, and rules for handling variants, deposits, warranties, and partial fulfillment — all the messy edge cases furniture retail throws at an ERP. On top of that normalized catalog, we rebuilt the storefront on headless Shopify Hydrogen for better performance and accessibility, and we built a tablet-based Sales Rep App so showroom associates can build draft orders, generate STORIS quotes, and capture leads without leaving the sales floor. Online sales grew substantially against the prior platform, on a foundation built to keep scaling.

We've run variations of this playbook for Home Zone Furniture (migrating off a legacy nopCommerce/eSTORIS setup to Shopify with full STORIS inventory integration) and Berríos Furniture (a nopCommerce-to-Shopify migration with multi-language support and an SEO-safe catalog strategy), and paired Shopify with STORIS and AI-powered conversational search for Today's Patio. Different retailers, same underlying discipline: get the data model right first, and the storefront experience follows.

The Product Detail Page Is the Most Important Page You Own

Furniture shoppers are careful buyers. They want dimensions, materials, fabric and finish options, delivery timelines, and warranty terms before they'll commit - especially on big-ticket items they can't return easily. We design PDPs before any other template, because it's the page doing the actual selling. Rich metafields and standardized product types (the same normalization work we do on the ERP side) are what make filtering, comparison, and product recommendations actually useful instead of decorative.

That attention to detail extends to accessibility. Terra Outdoor Living's storefront was reviewed and brought into WCAG compliance alongside the ERP integration work, which isn't a checkbox exercise for a category where a meaningful share of shoppers are older or need assistive technology to browse comfortably.

Showroom and Screen Have to Work as One System

The retailers we work with sell furniture in person as much as online, often more. That means the tech stack has to support consultative selling, not just self-service checkout. The Sales Rep App we built for Mattress Warehouse is the clearest example: associates use it to build carts during a showroom conversation, pull in BedMatch recommendations for guided mattress selection, and send automated follow-up reminders after the visit - all synced into the same STORIS and Shopify data the ecommerce site runs on. A customer who sits on a couch in the showroom and finishes the purchase from their phone that night should never feel like they're dealing with two different companies.

Why This Matters If You're Evaluating a Partner

Furniture ecommerce punishes generic solutions. Off-the-shelf themes and templated integrations tend to break down exactly where this category gets hard: variant-heavy catalogs, multi-location inventory, freight and delivery logistics, and ERPs that weren't built with modern storefronts in mind. Retailers who've let us design and implement their systems have seen online revenue gains upward of 100% compared to their prior setup, not because we ran more ads, but because the underlying system finally told the truth about inventory, pricing, and availability across every channel.

If you're running a furniture or mattress retail business and your online store and your showroom don't feel like the same company, that's usually a data and architecture problem - and it's the one we've spent years solving.