AI FOR Retail

Keep orders moving.
Keep customers coming back.

AI implementation for DTC, e commerce and subscription brands. Resolve order and subscription requests across your systems, support better buying decisions and give your team the context to act.

DTC brands · physical product subscriptions · specialist retail

2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.ORDER / SUBSCRIPTION RESOLUTION

Order & subscription resolution

Example
Illustrative request / order sent to warehouse

“Please skip my next delivery.”

01
Live checksOrder, payment and dispatch cutoff
02
Permitted actionRequest stop; await warehouse confirmation
03
Verified outcomeUpdate records and confirm, or escalate

A subscription change must also account for the warehouse order.

Illustrative request: identify the affected delivery and check live order, payment and warehouse records.

WHERE THE WORK SLOWS DOWN

Where does the
operation lose time?

Repeated checks, searches and handoffs take time from the work your team needs to move forward.

01

Order changes cross several systems

A skip, cancellation or address change needs checking against payment and fulfilment status. Changing the subscription alone may leave the warehouse order running.

02

Delivery issues start another investigation

The team reconstructs order history, checks carrier updates and coordinates a replacement or the next permitted action.

03

Returns and claims need evidence chasing

Customer evidence, eligibility, warehouse receipts and supplier requirements must be brought together before a refund or claim can move forward.

04

Product questions slow the next purchase

Teams search specifications, check compatibility and confirm suitable alternatives before the customer can make a decision.

WHAT WE CAN BUILD

AI that earns its place
in your operation.

Reduce service effort per order, resolve purchase blocking questions sooner and protect margin as order volumes grow.

01

Order and subscription agents

investigate skips, address changes, delivery issues and replacements. Complete permitted actions across connected systems, verify the result and send exceptions to a person with context.

BUSINESS GOAL

Faster resolution of supported order and subscription requests.

02

Product advice and aftercare

use product specifications, customer requirements and warranty records to prepare useful recommendations, returns or supplier claims for review.

BUSINESS GOAL

Less research before a customer receives a useful answer.

03

Customer data foundations

join commerce, subscriptions, support and marketing records into a usable customer view, with consistent definitions and permissions.

BUSINESS GOAL

Less reconciliation between customer facing teams.

04

Retention and repeat purchase models

identify patterns in customer behaviour, assess risk on held out data and give the team a reviewable intervention queue.

BUSINESS GOAL

More focused retention work using reviewable signals.

05

Demand and commercial analytics

account for promotions, skips, stock availability and lead times in buying decisions. Connect fulfilled orders, refunds and agreed costs to understand margin.

BUSINESS GOAL

Better informed buying and margin decisions.

06

Claude for commercial teams

implement buying briefs, trading reviews, customer feedback analysis and brand grounded marketing workflows.

BUSINESS GOAL

Less preparation for commercial reviews and campaign work.

MEASURING THE VALUE

Make the business case
measurable.

Agree the baseline, then measure the change. These are measures for a first project, not claimed client results.

01

Handling time per resolved request

02

Cost per correctly resolved case

03

Repeat contacts and resolution quality

We track accuracy, exceptions and review effort alongside speed, so work saved in one place does not become rework somewhere else.

ONE WORKFLOW, IN PRACTICE

A subscription skip. An order already in fulfilment.

  1. 01

    What comes in

    A customer asks to skip a delivery after its order has been sent to the warehouse.

  2. 02

    What the AI does

    Check dispatch status and permitted changes, request any allowed stop and verify the warehouse response.

  3. 03

    What your team receives

    Updated records and a confirmed customer response, or an unresolved case passed to the team.

HUMAN REVIEW

Your team approves exceptions; the agent confirms a change only after the connected systems acknowledge it.

Illustrative workflow.

WHO WE WORK WITH

Does this sound
like your business?

Physical product brands with repeat customers, subscriptions or a substantial aftercare operation. A compact headquarters can still have significant complexity across fulfilment partners, customer cases and buying decisions.

We usually work with the founder, COO, e commerce director or customer operations lead. Fit comes from recurring work, connected systems and a decision worth improving, not a minimum number of shops or employees.

01

DTC and e commerce brands

Beauty, supplements, homewares and other physical products with repeat buying and fulfilment.

02

Subscription businesses

Flowers, coffee, household consumables and boxes with skips, renewals and delivery changes.

03

Specialist and considered purchase retail

Furniture and technical products where product guidance, returns and aftercare matter.

A PRACTICAL FIRST PROJECT

One workflow. Real data.
A working result.

01

Choose one recurring request, such as a subscription skip after an order has been created.

Agree the supported systems, permitted actions, dispatch cutoffs and exceptions that need a person.

02

Test against representative cases: before and after cutoff, a paid order, a failed warehouse cancellation, a duplicate message and a timeout.

Measure correct resolution, handling time and unnecessary escalations. A focused proof of concept ships in 2 to 4 weeks.

YOUR NEXT STEP

Where could AI help your brand grow?

Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.

LET’S START WITH THE WORK

Book a discovery call.

Tell us where the work gets stuck. We’ll explore a practical first project with our senior AI engineering team.

YOUR PRIVACY