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Industry — 04

Retail & E-commerce

Campaign week is the real test of every system.

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In retail, systems are judged on the peak day, not the average one. Demand forecasting, personalisation and customer messaging all have to scale at once. Nemi and Pocufy came out of problems we hit here repeatedly.

In short

Where is AI used in retail?

AI in retail is used in four places: a customer assistant that can actually sell over WhatsApp and web, demand forecasting wired to automatic reordering, product description and category matching, and personalised recommendations. Neuros sizes these systems for the peak day rather than the average one, and has stock and price read from a single source instead of each channel's own copy — that copy is the real cause of channel inconsistency.

What's hard in this sector

Campaign week is the real test of every system.

01

Peak load

Campaign traffic can go up tenfold; the contact centre and stock systems jam at the same moment.

02

Channel inconsistency

When store, web, app and marketplace show different truths, customer trust is the first casualty.

03

Stock and price decisions

Overstock and stockout are both losses; optimising for neither is a forecasting problem.

What we can build for you

  • 01An omnichannel AI assistant across WhatsApp, web and email
  • 02Demand forecasting and automated replenishment
  • 03Dynamic pricing and campaign optimisation
  • 04Product matching, enrichment and generated copy
  • 05Personalised recommendations and loyalty
  • 06End-to-end automation of returns and exchanges

Frequently asked

Questions we get asked

Trying to fix a collapse on campaign day is already too late. Before the campaign Neuros runs load tests above the expected traffic, finds the breaking point and defines limiters that keep the system below it: queuing, staged waiting rooms and temporarily switching off non-critical features. The checkout path is isolated from other services so it stays up regardless.

Yes. Assistants built by Neuros search products, read stock and price live, build a basket and generate a payment link, and answer returns and shipping questions from the order record. The critical point is that the assistant keeps no copy of the catalogue — price and stock are read from the source on every reply, otherwise a customer is quoted a price that no longer holds.

Only when it is wired to a decision. As long as the forecast lives on a dashboard, stock decisions are still made on intuition. Neuros connects the forecast directly to the reorder rule: it produces an order proposal that respects lead time, minimum order quantity and shelf life, and opens the order once approved. The measure is not forecast error but the combined cost of stockouts and overstock.

Let's assess your sector specifically

This page is the general frame. Let's find the actual bottleneck in your operation together, in a 30-minute call.