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Self-Service Commerce Transformation

How an industrial distributor moved routine ordering online without losing the expert touch.

What You’ll Learn

How an industrial MRO distributor shifted routine orders from phone and email to a connected digital channel without losing its consultative sales model.

How AI-powered search, pricing, inventory, and support were unified into one commerce layer across Sales, Supply Chain, Marketing, and Support

What operational, sales, and customer experience gains came from moving catalog questions, pricing checks, and tier-one support into AI-assisted workflows.

Practical starting points for other industrial businesses looking to modernize ordering without ripping out existing ERP, WMS, or CRM systems.

Key Highlights

Self‑Serve Repeat Ordering

Routine MRO orders move through a self-serve portal, reducing manual entry and giving sales teams more time to focus on larger accounts and strategic deals.

AI‑Powered Product Discovery

AI-powered search converts complex requests into the right SKU, reducing inaccurate searches and helping customers find products faster with less support effort.

Accurate Contract Pricing & Stock

Real-time contract pricing and live inventory ensure customers always see accurate pricing and stock availability, reducing rework, confusion, and pricing disputes.

AI‑Driven Technical Support

An AI assistant handles common compatibility, specification, and substitution questions, freeing engineering and support teams to focus on higher-value work.

The challenge

Revenue growth was hitting a ceiling because too much order volume still depended on people picking up the phone or replying to email. With a catalog of over 200,000 technical SKUs, buyers relied on inside sales and engineers to confirm they were ordering the right part, check contract pricing, and chase down real inventory — a process that did not match modern expectations for speed and self‑service. As procurement teams grew used to consumer-grade digital experiences, manual quoting, disconnected inventory views, and repetitive support questions started to slow down operations and erode confidence in the online channel.

Results at a glance

A much larger share of repeat, routine orders now runs through the digital portal instead of email and phone calls

Manual contract and pricing validation has been largely removed from the quoting process, reducing errors and shortening cycle times.

Online stock levels now closely mirror real warehouse inventory, cutting down on cancellations, changes, and delivery delays.

Most standard technical inquiries are resolved instantly by an AI assistant, returning meaningful capacity to engineering and support teams.

How Clouda Delivered the Transformation

Commerce workflow assessment

Clouda worked with Sales Operations, Supply Chain, Marketing, and Support to map how orders truly moved through the business, surfacing the unstructured emails, spec sheets, PDFs, and phone calls that carried most of the operational load. This ensured the solution targeted real bottlenecks instead of idealized processes.

Modular transformation layer

Rather than replacing the existing ERP, WMS, and CRM, Clouda implemented a modular workflow layer that connects to all three systems and orchestrates a unified commerce experience. Rollout was staged: first improve search and discovery for high-value categories, then add real-time pricing and inventory, and finally layer in localized support automation and personalization.

AI product discovery and hybrid search

The new search experience reads natural-language queries alongside technical specs, using embedded engineering logic to match vague or shorthand requests to the correct SKU. This reduced zero-result searches and cut the volume of “which part is this?” questions landing in engineering queues

Real-time contract pricing and live inventory

Real-time contract pricing and live inventory The system recognizes each buyer, pulls their specific contract terms or tiered pricing, and displays negotiated prices instantly, while continuously syncing with regional warehouses to keep availability accurate. Buyers now see the same numbers online that they hear from sales, and they can trust that what shows as in stock actually is.

Personalized recommendations and AI support

Using a customer’s asset and order history, the portal suggests compatible accessories and valid substitutes, while an AI agent answers routine compatibility and specification questions using internal engineering knowledge. When a question is complex, the agent hands the conversation off to a human rep with full context, so resolution remains fast and accurate.

Looking ahead

The distributor now runs day‑to‑day procurement through a connected, AI-powered commerce layer, so routine orders largely take care of themselves while specialists focus on strategic relationships and complex projects. With discovery, pricing, inventory, and support all operating from the same source of truth, the business is positioned to add new product lines and scale digital revenue without a proportional increase in headcount — and offers a modern buying experience in a market where many competitors still do not.

For other industrial distributors, the practical starting point is a search layer that can handle how buyers actually describe the parts they need, then building workflows and automation around existing systems instead of replacing them.

Identify and Execute AI Opportunities With Clouda

Fill out the form and schedule a session with our team to assess your operations and identify where AI can create real impact.

We’ll show how AI applies to your business processes, where gaps exist, and what can be improved using our proven frameworks.

Project visualization

Fill out the form and schedule a session with our team to assess your operations and identify where AI can create real impact.

We’ll show how AI applies to your business processes, where gaps exist, and what can be improved using our proven frameworks.