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Retail

Throughput without more headcount.

Catalogue, demand, support and merchandising, with AI doing the first pass on everything and your team approving instead of producing.

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A supermarket aisle running between fully stocked shelves
The problem in retail and ecommerce

Output is capped by who can approve, not who can produce.

Every SKU needs content, every ticket needs an answer. Both scale linearly with the catalogue until AI takes the first pass.

More assets and listings produced per week6.4×
Review time removed per item−64%
Support tickets auto-triaged in our own operation92%
Added headcount to absorb the volume0
Ranges without a named source are Momentem’s own engagement data, including Paradiem, a company we own and operate. Treat them as observed ranges, not guarantees.
Hands over stacked boxes and a cup of coffee

Review capacity is the ceiling

Output is limited by who approves, not who writes.

Brand voice matters

Generic copy costs conversion.

Catalogue data is inconsistent

One attribute, four formats, three suppliers.

Peak is unforgiving

It must hold on the busiest weekend.

What we can deploy here

Real applications, in the order we would usually deploy them for an operation this shape.

Studio

Catalogue Studio

Drafts copy, attributes and translations in your house voice for bulk approval.

Awaiting approvalconfidence 0.95
Publish 48 listings: new rangecatalogue-agent
ApproveRejectAsk for detail
Agent

Support Agent

Answers tickets from your own policies, handing over to a person when it should.

Answered1,204 today
Handed over86
Avg handle time2 min
Service

Returns Desk

Assesses cases against policy and escalates exceptions with full context.

Policy appliedautomatically
Exceptionsescalated
Refundshuman-approved
Planner

Replenishment Planner

Forecasts from your own sales history and proposes replenishment for approval.

of lines auto-proposed60%
Planner approves; the model learns from overrides.
Service

Asset QA

Checks every image and asset against your standards before it reaches the storefront.

Checkedevery asset
Standardsyour guide
Rejectsqueued for fix
Service

Merch Assistant

Improves search relevance and collections from your own behaviour data.

Queries analysedweekly
Collections proposed12
Merchandiser approveslive

Workflows worth automating

5
workflows
78%
average automatable
6.5×
items per week

Catalogue content

Every SKU needs copy
85%
Automatable
TodayA writer starting from blank per product, in every language
With usDrafts copy, attributes and translations in your house voice for bulk approval
6.5×items published per week

Customer support

Volume spikes at peak
80%
Automatable
TodayAgents answering the same questions repeatedly
With usAnswers from your own policies, handing over cleanly when it should
−78%ticket handle time

Returns

Policy-bound, high volume
75%
Automatable
TodayManual assessment case by case
With usAssesses against policy and escalates the exceptions with context
−60%returns processing time

Replenishment

Guesswork with consequences
60%
Automatable
TodayPlanning on a supplier template or last quarter’s export
With usForecasts from your own sales history and proposes replenishment
−40%stockouts on core lines

Image QA

Brand risk at scale
90%
Automatable
TodaySpot-checking, or not checking
With usChecks every asset against your standards before it reaches the storefront
−90%manual image checks

Why Momentem

About the company →

We run an ecommerce operation

Paradiem is ours: human and AI agents running build, operations, scale and support end to end. 92% of tickets auto-triaged.

Your voice, scored

The style guide becomes part of the eval set, measured against your own approved content per market.

Sized for peak

Capacity modelled on your busiest weekend, not your annual average.

Reusable by the second category

The orchestration and eval harness carry over, so the next rollout costs a fraction of the first.

The business outcomes we measure against
Cost per SKU publishedthe unit economics of catalogue growth
Time to marketdays from supplier data to live listing
Cost per support contactservice cost as volume scales
Conversion on new listingsrevenue effect of better content
Return processing costmargin recovered on reverse logistics
Items per reviewerscale headroom without hiring

How the build runs.

Week 0

Scope

Sessions with the people doing the work. We leave with a written target and a data map.

Week 1 to 2

Prove

A thin slice against your real records, scored on a test set drawn from your own history.

Week 3 to 12

Deploy

Integrations, approval gates, audit logging. Live on one team with a rollback switch.

Ongoing

Hand over

Runbooks, paired on-call and a decision log, until your team changes it without us.

A figure standing in a lit doorway beside shelving
Six weeks, in ninety seconds.Walkthrough · 1:30

Which of these workflows costs you most?

Forty-five minutes with the people who would build it. No pitch, and a straight answer on whether it is worth building.

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Questions

All questions

Usually yes, including Shopify, Magento, commercetools or custom. The write-back path is scoped explicitly since that is where value appears.

It has to, so your style guide becomes part of the eval set and quality is measured against your own approved content.

Yes, and quality is scored per market rather than assumed to carry over.

Other industries

Logistics

Scheduling, dispatch, exceptions and proof of delivery

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Banking & finance

Onboarding, reconciliation, risk and reporting

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Real estate

Listings, leads, contracts and property operations

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Government

Case handling and citizen services, inside your boundary

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Healthcare

Intake, coding, coordination and records

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Construction

Tenders, submittals, site reporting and variations

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Professional services

Document review, proposals and billing hygiene

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Hospitality

Bookings, guest requests and revenue reporting

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Energy & utilities

Asset records, maintenance planning and compliance

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Education

Admissions, student records and support desks

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Legal

Contract review, disclosure and matter intake

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