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INDUSTRIES/RETAIL & E-COMMERCE

Support and catalogue work that keeps up with demand

Retail systems get judged in public. Slow answers, wrong product data and a support agent who cannot see the order all cost the same thing. We build the parts that carry volume without a proportional headcount.

Book a technical callSee where we start

What the teams we work with are dealing with

SUPPORT

Deflection is not resolution

Chatbots that answer questions but cannot change an order, so the ticket lands with a human anyway.

CATALOGUE

Product data is a mess

Thousands of items with thin, inconsistent or missing copy and attributes, holding back search and conversion.

PEAKS

Sale weeks hurt

Infrastructure and staffing sized for a normal week, then a campaign arrives.

OUR WORK HERE

Where we usually start

Support agents that act

Read and write access to the systems that fix a ticket, scoped exactly like a tier-one human, with escalation above that.

Catalogue enrichment

Attributes, descriptions and categorisation generated and validated at scale, reviewed by merchandising before publish.

Search and recommendations

Retrieval that understands how customers actually phrase things, measured on conversion rather than relevance alone.

Platform and peak readiness

Load testing, caching and cloud structure so a campaign is a planned event rather than an incident.

ENGAGEMENT

Typical shape of a retail engagement

Short cycles, visible progress, and a scope you can change. You see working software every week rather than a status report.

WHAT YOU KEEP

The repository, the infrastructure code, the evaluation set and the documentation. In your accounts, under your licence, from the first commit.

First week

Read real ticket and catalogue samples, agree the actions an agent may take, and write the evaluation set from past cases.

Second week

A working slice on sandbox systems, measured against how your team handled the same cases.

From there

Live on a percentage of volume, with a kill switch and daily review, expanded as the numbers hold.

Then on

Seasonal readiness reviews, plus evaluation runs before any model or prompt change ships.

What we are careful about

Brand voice

Generated copy follows your tone and claims rules, and merchandising signs off before anything goes live.

Refund and credit limits

Anything with a money value has a ceiling the agent cannot exceed without a person.

Customer data

Order and profile data is scoped per request and never used for training.

Measured on outcomes

Success is resolution rate and conversion, not chat volume.

Tell us where volume is outrunning the team

Thirty minutes with an engineer who has shipped in this sector. You leave with a scope and a straight answer on feasibility.

Book a technical call