Most eCommerce software is designed for simple products you can sell with one photo and one price. But not every product is simple. We engineer commerce for complex commerce, where compatibility data, configuration rules, technical specifications, account-specific pricing, or expert guidance stands between interest and purchase. We use AI to make complex commerce simple.
Browser-era commerce punished technical catalogs: deep SKU counts, compatibility questions, and specialist buying journeys suppressed conversion while simple products raced ahead. AI-driven buying inverts that. Agents and AI-assisted buyers are constraint-solvers, and the seller whose catalog encodes what fits, what complies, and what a job requires becomes the answer they trust. At the same time, simple products collapse into price comparison. The condition is unforgiving: complexity must be structured, machine-readable, and live. We engineer that condition.
Six capability layers are common to every complex commerce business.
AI engines turn an under-specified question into a confident answer. They take a vehicle, a machine serial, or a system spec and use logic to analyze intent, knowing when to present products or when to ask clarifying questions.
AI engines combine complex catalogs, built on the standards your industry runs on, with an enrichment layer that merges feeds, resolves supersessions, and patches what the licensed data misses.
AI combines real-time information from ERP and warehouse systems to inform stock levels, pricing, and delivery promises.
Your catalog needs to be served in a form software can read, not just people. Documented APIs and emerging agent protocols ensure procurement systems, fleet software, and AI agents can check fit, price, and stock without a human in the loop.
AI simplifies and optimizes B2B sales complexity, including tiered pricing, negotiated catalogs, quote and approval workflows, credit and branch structures, and the commercial logic of trade relationships.
AI learns and improves by leveraging transaction outcomes, conversions, returns, and co-purchases to improve future interactions.
Conversion more than doubled after eight disconnected order channels became one platform. Daily orders grew tenfold; Click & Collect drives 70% of online sales.
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Online revenue growth after a headless Adobe Commerce rebuild: vehicle-aware search, structured fitment data, product exports from 16 hours to 17 minutes.
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The UK's leading confectionery wholesaler on Adobe Commerce: tiered B2B pricing, account-based ordering, and deal automation at high-SKU scale.
Read case studyVIN and registration resolution, ACES, PIES, and TecDoc data, supersession chains proven at the scale of Europe's largest parts sellers.
Equipment generations, OEM cross-references, MRO catalogs where the wrong part stops a production line.
Voltage, load, and certification compliance, catalogs where UL and IEC ratings decide what can be sold together.
System pairing, capacity calculations, refrigerant compatibility, products bought as systems, not items.
Fitting standards, dimensional tolerances, and system compatibility across brands and generations.
Parts books keyed to serial-number ranges, attachment compatibility, and fleets that mix decades of machines.
Providing UDI data standards, device and accessory compatibility, and the catalog rigor a regulated buyer expects. We engineer the commerce and data layer alongside your regulatory holders.
Applicability by serial and tail-number range, illustrated parts data, traceability, and authenticity. We engineer the catalog and commerce layer; airworthiness stays with the certified.
Bring the catalog, the data standards you work with, and the questions your buyers ask. A senior engineer will tell you honestly where you stand and what the first build looks like.
Ask Sol anything about digital products, AI, engineering, or growth, and get answers drawn from years of Net Solutions thinking and experience.