B2B & Distribution
AI Automation for B2B, Wholesale and Distribution
B2B revenue leaks quietly: a quote nobody chased, an order stuck at a credit check, an account query answered three days late. None of it shows up as a lost deal — it shows up as a customer who orders slightly less each quarter.
How does AI automation apply to B2B and distribution businesses?
In B2B the transaction is longer and more procedural than in retail: quotes, approvals, credit terms, purchase orders, part-shipments and account queries. AI automation is applied to the procedural layer — reading incoming POs and invoices, chasing quotes and outstanding orders, answering account and stock queries from live data, detecting orders stalled at an approval step, and keeping the CRM accurate. The relationship and the negotiation stay with your sales people; the chasing and the paperwork do not need to.
The operational reality
What actually goes wrong
Before talking about AI, it is worth being precise about the problems. These are the ones that come up in nearly every engagement in this sector.
Quotes go quiet and nobody follows up
Follow-up depends on individual memory, and the pipeline reflects that.
Orders stall at approval or credit
Nobody notices until the customer asks where their delivery is.
Account queries take days
Statement, pricing and delivery questions queue behind whoever owns the account.
POs and invoices are keyed by hand
Documents arrive as PDFs and email attachments and are retyped into the ERP.
Pricing complexity causes errors
Customer-specific pricing and contract terms applied inconsistently.
CRM does not reflect reality
Stages, owners and next actions are stale, so forecasting is guesswork.
Workflows
How each one gets automated
Each of these is a defined sequence across your systems, not a conversation with a bot.
Quote follow-up
Detect a quote with no response → follow up with a specific, useful question → capture the reply → update the CRM → escalate to the account owner when there is a real signal.
Stalled order detection
Watch order state against expected progression → identify the blocking step → chase the internal owner or the customer → escalate on the second failure.
Account query handling
Identify the account → read live pricing, credit position, order history and stock → answer accurately, or route to the account manager.
PO and invoice processing
Extract structured data from the document → match against the order and price list → raise exceptions where the match fails.
Credit and approval workflow
Route approvals to the right person with the evidence attached, and escalate when they sit unactioned.
CRM hygiene
Find duplicates, stale deals, missing owners and unrecorded contacts, and fix or flag them.
The boundary
AI when it can. Humans when it should.
Deciding what stays human is a design decision, made before anything is built — not a limitation discovered later.
What the system handles
- Quote and proposal follow-up
- Order status and delivery queries
- Statement and invoice copy requests
- Stock and lead-time enquiries
- PO and invoice data extraction
- Stalled-order detection and chasing
- Approval routing and reminders
- CRM data hygiene
- Re-order prompts based on order history
What stays with your people
- Pricing and commercial negotiation
- Credit limit decisions
- Contract terms and disputes
- Relationship management for key accounts
- Escalated complaints and service failures
- Any exception outside agreed policy
Example architecture
How it is put together
Inputs
How B2B work actually arrives.
Understanding
Turning documents and messages into records.
Process
Where B2B orders get stuck.
Systems
Records that must stay consistent.
Follow-through
The part that quietly loses revenue.
Use cases
Where this comes up
Sub-sectors within b2b & distribution where the pattern applies most directly.
Systems we connect to
Building materials and industrial supply
Complex catalogues, customer-specific pricing and quote-driven ordering.
Wholesale and distribution
High order frequency, part-shipments and constant stock and lead-time queries.
Manufacturing sales operations
Long approval chains and document-heavy ordering.
Multi-brand sales organisations
Several brands, one pipeline, and CRM data that has to stay coherent.
Relevant work
Case studies from this space
B2B Commerce Platform for a Building-Materials Supplier
A B2B ordering platform for a building-materials business: trade catalogues, account-based pricing and an ordering flow built for contractors, not cas...
ReadCustom CRM for a Multi-Brand Sales Organization
A purpose-built CRM replacing spreadsheets across brands: lead pipeline, follow-up automation and management reporting in one system the sales team ac...
ReadMulti-Brand Cloud Consolidation & Migration
Migration of a portfolio of production businesses onto consolidated, managed cloud infrastructure - cutting cost and putting security, backups and SSL...
ReadFAQ
Questions from this sector
Solutions that apply here
Work out the numbers
Give us one repetitive problem.
Tell us about one workflow that keeps reaching a person when it should not. We will come back with how we would automate it, what stays human, and what it takes to build.