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Retail & e-commerce

AI for retail and e-commerce operations

Support volume scales with revenue, and most of it is four questions: where is my order, can I return this, do you have it in my size, and can I change my delivery. None of them need a person.

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The day-to-day

What we see when we sit with your team

  • Support headcount is planned around peak season and idle for the rest of the year.
  • The same order-status question arrives across WhatsApp, Instagram, email and the phone.
  • Returns are handled manually and inconsistently, which costs both margin and goodwill.
  • Nobody can attribute revenue to the channels reliably enough to shift spend with confidence.

Where the money goes

Four leaks, and the mechanism behind each

  1. Seasonal hiring for questions a system already knows

    Order status is a lookup. Hiring temporary staff to read a tracking number aloud is the most expensive possible way to answer it, and it happens every peak.

  2. Response time gates conversion

    Pre-purchase questions — sizing, stock, delivery window — are conversion-critical and time-sensitive. An answer in thirty seconds and an answer in six hours are not the same product.

  3. Channel fragmentation hides the real volume

    When enquiries live in four inboxes, nobody sees the true load or the true response time, so the business under-invests in exactly the thing costing it sales.

  4. Returns friction is a retention decision

    A difficult return does not just cost the margin on that order. It reliably costs the next one too.

What we would build

Specific to your operation, not a template

Order status and tracking agent

Answers from your order management system across every channel, proactively notifies on exceptions such as delays, and deflects the highest-volume ticket type entirely.

Pre-purchase assistant

Answers stock, sizing, delivery and suitability questions from live inventory and your product data, in the customer's language, at the moment they are deciding.

Returns and exchange handling

Applies your returns policy consistently, issues the label, books the collection and updates the customer without a human touching it unless the case is genuinely exceptional.

Unified enquiry pipeline and reporting

Every channel into one view, with honest reporting on volume, deflection rate, response time and which conversations actually convert.

What we design around

The constraints specific to your sector

These are the things that make a generic build fail here. We treat them as hard requirements from day one, not as issues discovered in testing.

  1. Inventory accuracy is the ceiling

    An agent that confidently promises stock you do not have is worse than no agent. If your inventory data is unreliable, fixing that comes first — we will tell you rather than build on it.

  2. Refunds are a policy decision, not a technical one

    We will happily automate refunds up to a threshold you set. Deciding that threshold is yours; the agent enforces it consistently, which is usually the actual improvement.

  3. Peak is the real test

    Anything built for retail is validated against peak-season volume and peak-season edge cases, not against a quiet Tuesday.

A realistic first quarter

What the first 90 days actually look like

Indicative, and it changes with your systems — but this is the shape, and the ordering is deliberate: lowest risk first, so the evidence arrives before the exposure does.

  1. Weeks 1–2

    Classify a month of real tickets by type and volume. The answer is nearly always more concentrated than expected.

  2. Weeks 3–5

    Automate order status first — highest volume, lowest risk, most immediately measurable.

  3. Weeks 6–9

    Add pre-purchase questions from live inventory, and consolidate channels into one pipeline.

  4. Weeks 10–13

    Add returns within your policy thresholds, and turn on proper channel reporting.

How we would engage

The services that fit this sector

Build it

Agentic AI & Automation

Voice and chat agents that answer every call, qualify the enquiry, take the booking and write it into the systems you already use — in English and Arabic, around the clock. Amira, running live for a Dubai client, is one of ours.

4–12 weeks by scope From AED 60,000
Read more

Grow the pipeline

GTM & Lead Management

Most businesses do not have a lead problem, they have a follow-up problem. We build the capture, qualification and nurture system — with AI doing the repetitive work — so nothing you have already paid to attract goes cold.

4–8 weeks From AED 45,000
Read more

FAQ

Retail & e-commerce: your questions

How much of our support volume can realistically be automated?

It depends entirely on your ticket mix, which is why we classify a real month before quoting anything. Order status and tracking are usually the largest single category and the most deflectable; genuinely complex cases should stay with people.

What if it gets an answer wrong during peak?

It should escalate rather than guess, and we tune the confidence threshold conservatively before peak and relax it once you have evidence. We would rather hand over unnecessarily than answer wrongly at volume.

Does it work on WhatsApp and Instagram?

Yes — for most Gulf retailers WhatsApp is the primary channel, so we usually start there rather than treating it as an afterthought.

Can we keep our existing helpdesk?

Yes. We integrate with what you run rather than replacing it. Replacing a working helpdesk mid-project is a good way to fail at both.

Let us look at your numbers

Bring us a month of call logs or enquiry data and we will tell you, specifically, where it is leaking and what it is worth fixing.

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Other sectors we work in