Clairvance provides AI transformation consulting and implementation for distributors and wholesalers. We connect emailed orders, customer product references and ERP workflows so your order desk can review exceptions and move accepted orders into fulfillment.
Consulting and implementation across the U.S. · Remote and on site
Turn incoming orders into work your team can act on.
An order desk should not need to reconstruct the same customer references, pack sizes and approval history for every request. We work with operations, customer service and IT to redesign that path and implement the connection to your ERP. Depending on the order channel, the answer may be EDI, an existing import, a supported integration or AI-assisted document preparation. The implementation carries the source, mapping decisions and unresolved items into a workflow your team can operate, with pricing, credit and fulfillment authority kept in the approved systems.
Where transformation can start
The recurring work worth examining.
For distribution owners, operations executives and customer-service leaders managing meaningful order volume across teams or branches. Bring a workflow where demand is growing faster than the team’s ability to process it consistently.
One order queue contains several different kinds of work
A repeat customer’s structured order, a spreadsheet from a new buyer and a free-form email should not all require the same manual treatment. A redesigned intake process can separate reliable imports from ambiguous requests and route each through an appropriate path. AI may help interpret variable documents, while established rules handle known formats and customer arrangements. The important output is a reviewable order with the original source attached.
A useful first move
Sample orders by channel and customer type. Record volume, processing time and exception reasons, then choose one repeatable path with enough activity to justify a working implementation.
What to measure
Measure handling time, order-entry corrections, source-to-ERP delay and exception rate by channel.
Product and customer matching depend on individual memory
Customer part numbers, pack sizes, ship-to locations and informal product descriptions can turn a simple request into an investigation. A preparation workflow can bring approved reference data into the review and flag uncertain matches before they become fulfillment mistakes. AI can propose a match from the available evidence; clear rules determine when a match is reliable enough to proceed and when a person must resolve it.
A useful first move
Document the most common aliases, unit variations and account-matching failures. Establish the approved reference source and the information a reviewer needs to confirm a proposed match or reject it.
What to measure
Track match corrections, clarification requests, wrong-unit incidents and time spent resolving ambiguous lines.
Exceptions leave the order flow and disappear into messages
A credit hold, unavailable item, price discrepancy or missing delivery detail may stop work without creating a clear task for the right team. Standardizing that handoff can make the reason, owner and next action visible alongside the order. This is an operating-model change as much as a technical one: the business needs to agree who can resolve each issue and how service teams communicate the outcome.
A useful first move
Choose a few high-volume exception categories and define their owners, required information and escalation points. Connect the exception queue to the order status rather than asking staff to keep a second tracker current.
What to measure
Measure aged exceptions, orders waiting without an owner and time from issue identification to resolution.
Branch leaders cannot distinguish demand from processing friction
A backlog may reflect a demand spike, an incomplete request, a system issue or a repeated approval delay. A connected operating view can show those differences so managers make a useful intervention. It can also expose where a new automation has shifted effort to review or rework. Measuring the whole path helps the business decide whether to extend the workflow to another customer, order format or branch.
A useful first move
Agree common queue and status definitions across the teams involved. Review a baseline with customer service, operations and finance, then compare completed work, waiting time and corrections after the change.
What to measure
Track queue age, throughput, review workload, rework and adoption across the participating teams.
Work with your operating reality
Your systems are part of the starting point.
We check the ERP’s supported APIs, imports and EDI connections before selecting an integration. The working deliverable includes agreed customer and product mappings, duplicate checks, a review queue and a traceable handoff to the ERP. Acceptance cases cover pack-size ambiguity, order amendments and a transfer that times out after submission. Customer service, warehouse and finance owners test the complete path, with recovery instructions and a named owner for mapping changes.
Evaluate crosswalks, pack-size rules and ambiguous lines before an ERP import.
Common questions
AI for distributors, answered.
Can AI enter emailed and PDF orders into an ERP?
It can prepare them for a reviewed handoff. Depending on the order channel, the right answer may be EDI, an existing import, a supported integration or AI-assisted document preparation. Clairvance implements a review queue and a traceable handoff to the ERP, with pricing, credit and fulfillment authority kept in the approved systems.
How are customer part numbers and units of measure handled?
Through agreed customer and product mappings from an approved reference source, duplicate checks, and a review step that shows the information needed to confirm or reject a proposed match. Acceptance testing covers pack-size ambiguity, order amendments and transfers that fail after submission.
Which ERP systems does Clairvance work with?
Clairvance starts from the ERP you already run, checking its supported APIs, imports and EDI connections before selecting an integration.
What should a distributor measure?
Handling time, order-entry corrections, source-to-ERP delay and exception rate by channel, along with aged exceptions and orders waiting without an owner.
Start a conversation
Where does an incoming order stop moving?
Tell us your ERP, order channels, approximate weekly volume and the exceptions your team handles most. We will use those details to discuss an implementation that fits the order desk and downstream teams.
