Your science is advanced. Your business infrastructure should be too.

Yes, that is the default approach. The new storefront is built and tested alongside the live one, product and customer data is migrated in rehearsed steps, URLs are redirected to protect search visibility, and launch is scheduled around your order and shipping calendar. The audit identifies which parts can change in place and which need a staged cutover.

Usually, depending on what those systems expose. We review each system’s interfaces, data quality, and limits during the audit, then design integrations around a clear owner for each record. Some connections are straightforward; others need middleware, custom work, or a vendor’s cooperation, and we say which before scoping.

Yes. The catalog is designed around the attributes researchers actually filter by, such as population, marker, source, species, format, and quantity, with a data model that keeps variants, lots, and documents connected. Scientific content and specifications come from your verified records and are reviewed by your scientists.

Yes. Company accounts, approved buyers, negotiated pricing, payment terms, purchase order support, and structured quote requests can be built on Shopify’s B2B features where your plan supports them, with custom workflows for anything the platform does not cover natively.

Shopify carries the transaction load, and custom systems are designed for your measured volumes and peaks, with monitoring and load testing before launch. We size infrastructure from your real order history during the audit rather than quoting a generic number.

Yes. Documents such as certificates of analysis, data sheets, and safety documentation can be linked to products and lots, with public, account only, or request based access depending on what each document is and who may see it. The content of each document remains yours and your quality team’s.

Carefully, and with your experts. Research use only materials are labeled and presented as research materials, not as diagnostic or therapeutic products, and clinical or GMP grade materials follow different requirements. FDA guidance on research use only diagnostic products looks at how a product is marketed, not only its label, so product copy, search content, and ads are written and reviewed with that in mind. Our systems support your compliance processes. They do not certify compliance, and regulatory questions go to your qualified quality, regulatory, and legal advisors.

We can make accurate product information far easier for search engines and AI search systems to understand, through category architecture, structured product data, technical SEO, and expert reviewed content. No one can guarantee rankings or placement in Google or any AI product, and we do not.

Where repetitive work already happens: quote intake, routine customer questions, documentation lookup, catalog navigation, and reporting. AI answers from approved records, routes work to people, and never independently decides compliance, invents specifications, or takes high impact actions without human review.

Rarely all of it. We start by keeping what works and connecting it. Replacement is recommended only when a system blocks the business or costs more to integrate than to replace, and that case is made with numbers during the audit.

Commerce and catalog, search visibility, qualified acquisition, brand and scientific content, custom operations software, and AI automation, designed as one system. Most programs are delivered in phases after an enterprise systems audit, so each phase protects revenue and builds on the last.

Through a paid or structured enterprise systems audit: stakeholder interviews, a review of the storefront, catalog, integrations, data, and operations, and a technical risk assessment. The output is a phased roadmap with defined deliverables, dependencies, and investment for each phase, so the decision is made on scope, not on a guess.

Data audits before anything moves, staging environments, rehearsed migrations, redirect maps, rollback plans, and launch windows chosen with your operations team. Critical paths such as checkout, quotes, and documentation are tested end to end before cutover.

Monitoring, platform and integration maintenance, security updates, performance reviews, and continued development against measured priorities, scoped as an ongoing engagement after launch.