Resolve routine order and delivery questions with current account data.
Read the order, payment, fulfilment, and policy records, prepare the answer or approved action, and route refunds, disputes, and unusual cases to an agent.
AI for retail and e-commerce
Remove the admin between an order, an answer, and a resolved customer issue.
OriginLines builds AI workflows for retailers and e-commerce companies in the UK and internationally. We connect stores, commerce platforms, support tools, product data, and operations systems around work that repeats every day.
Customer support · Product data · Order exceptions · Returns and inventory
Where to start
Retail teams handle high volumes of small tasks across systems that rarely agree perfectly.
The best automation targets a complete path such as resolving an order issue or updating product data. It gathers the facts, applies known rules, prepares the action, and sends exceptions to the right person.
Turn supplier information into checked product records.
Extract attributes from incoming files, match them to the catalogue schema, draft descriptions from approved facts, and flag missing or conflicting product data.
Find order and inventory exceptions before they become support queues.
Monitor agreed events, group related failures, enrich the case with system context, and assign a clear next action to the operations owner.
Prepare return and refund cases without repeated checks.
Validate order details and policy conditions, collect evidence, propose the permitted next step, and keep non-standard or high-value decisions with staff.
A controlled first release
Example first release: resolve routine order exceptions from detection to customer update.
This is a representative workflow, not a claimed client result. The release boundary, controls, integrations, and measures would follow the company's real operation.
Connect the records the process already uses.
Read the approved systems, documents, messages, and events needed for the job. Keep the source attached to every extracted fact.
Complete the repeatable work and expose exceptions.
Use software for fixed rules and models where interpretation is useful. Missing, conflicting, and uncertain inputs move to an exception queue.
Release the result through the responsible owner.
Operations staff approve refunds, commercial exceptions, and customer commitments outside the agreed rules. The workflow records the approval, action, and outcome so the business can compare it with the old process.
Business case
Measure the current process before promising a return.
We do not publish a generic savings percentage. The business case starts with the firm's own volume, handling time, delay, and rework.
Resolution time
Time from a customer or order issue to a completed outcome.
Agent handling
Manual touches required for routine support and return cases.
Catalogue cycle time
Time from supplier data receipt to a complete, review-ready product record.
Exception backlog
Open order, inventory, and fulfilment cases waiting for action.
Common questions
What a responsible first project requires.
What can AI automate in retail and e-commerce?
Good candidates include support, catalogue, operations, returns. The best first project is repeated often, uses accessible information, has a clear owner, and produces a result the company can measure.
Will it work with the systems we already use?
That is the normal approach. We map the current CRM, finance, operations, document, support, and communication tools, then connect only what the first workflow needs.
Does the AI make decisions without a person?
Only where the company has deliberately approved that boundary. High-impact, regulated, commercial, safety, and uncertain decisions should route to a named person with the source information visible.
How do we choose the first automation project?
Start with a process that creates visible cost, delay, rework, or customer friction. Measure its current volume and handling time, then define one release that can complete the path and prove whether the investment is justified.
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Which workflow should your team automate first?
Bring one manual process. We will assess its volume, cost, systems, risks, and the smallest release that could prove value.
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