AI Sales Order Processing
Turn incoming orders into structured records with checks for missing products, quantities and delivery details.
The opportunity
Customers order in the way that is convenient for them: an email, a marked-up PDF, a spreadsheet or a familiar product nickname. Your team then translates the request into the structure your order system expects.
Voxd helps automate that translation. We extract the order details, check them against approved product information and surface the gaps that need a person. The result is a reviewable order workflow, with clear boundaries between interpreting a request and committing your business to fulfil it.
Prepare structured order information from supported incoming formats instead of beginning each record from scratch.
Highlight uncertain products, missing quantities and delivery details at the point they can be clarified.
What we deliver
Identify the email and document formats your customers use and the fields your system requires.
Match against approved references and route unclear requests for confirmation.
Connect the agreed order workflow, review queue and status updates to your existing tools.
Why Voxd
Voxd’s iGlobal proposal work connects Microsoft 365, Gong and HubSpot to bring sales context into a human-approved proposal workflow. Our Pricify work turns conversational requests into structured supplier enquiries.
We can build the integrations and supporting application as well as the AI component. That means we can address the awkward steps surrounding a task, instead of leaving your team to bridge the gaps manually after the automation is delivered.
How we work
We map a real request from arrival to completion, including workarounds and exceptions that a process diagram might miss.
We decide what can run automatically, what needs review and how failures or incomplete inputs should be handled.
We test the workflow against representative examples and compare the result with your existing process for speed, completeness and quality.
We introduce the workflow with logging, clear ownership and an agreed route for exceptions, then refine the steps that still cause friction.
Before you get started
We can evaluate shorthand against your product data and examples. Ambiguous matches should be flagged for confirmation rather than turned into assumed products.
Only if that action is explicitly in scope and governed by agreed rules. Many workflows begin by preparing an order for human review.
Bring examples of the requests they currently translate by hand.
Retain agreed review steps for pricing, availability and acceptance before an order proceeds.