Who We Serve / Retail & E-commerce

Commerce Platforms Built For Peak.

We build the software, data, and AI behind retailers, marketplaces, and brands selling across multiple channels. Every platform is built to keep stock, pricing, and customer data consistent wherever the purchase happens.

Why It Matters

The Customer Decides in Seconds.

The time between what a customer wants and what a retailer can show them determines what the visit is worth. Stock sells out without the site knowing, carts stall at checkout, and recommendations arrive after the intent has passed. We reduce it with real-time inventory visibility, a checkout built to hold at peak, and customer data current enough to personalize on.

The Problems We Solve

The Customer Moves Faster Than The Systems Do.

Retailers are short of systems that read it the same way across web, store, and warehouse. Plaxonic is engaged to build that consistency for retailers, marketplaces, and direct-to-consumer brands.

Every channel shows the customer a different answer.

The price online, the stock in the app, the promotion in the store, and the listing on the marketplace all disagree, because each runs on its own system that was never meant to reconcile with the others in real time.

Your stockouts surface after the sale is already lost.

Inventory updates in a nightly batch, not the moment the shelf empties or the last unit ships. By the time the number is right, the customer has already seen “out of stock” and bought it somewhere else.

Your carts are abandoned, and the reason is never recorded.

A customer got to the last step and left, and all you have is a number in a report. The signal that would tell you it was the shipping cost, the load time, or a required account is scattered across tools that do not talk.

Your platform is least reliable on your highest-traffic day.

The platform that runs fine on a Tuesday buckles on the one day that matters, because it was scaled for the average and not the spike. The busiest hour of the year becomes the most expensive outage.

Your customer is one person held in five separate profiles.

Their in-store loyalty card, their web account, their app login, and their marketplace order are four different records. Nobody can answer “who is this shopper to us” without stitching identities by hand.

Your personalization recommends what the customer already owns.

The engine fires on last click instead of real intent, so it upsells the coffee machine to the person who bought it yesterday and misses the filters they actually need. Relevance that misses feels worse than none.

Your fulfillment and returns still run on spreadsheets.

Which store ships which order, what came back and why, where the returned unit goes next. The decisions that decide your margin are made in exports and phone calls, not in a system that can optimize them.

The logic behind your merchandising was never written down.

The buyer who knows which lines will move, the planner who knows why a region behaves differently. When they move on, that judgement leaves with them, and nothing you own captured how they knew.

What We Build

Engineering That Reaches The Customer.

We build across storefront, inventory, and fulfillment, covering commerce platforms, unified customer and stock data, marketplace integration, and the cloud infrastructure that carries peak trading.

Cloud & Platform

Scalable Commerce & Marketplace Platforms

Storefronts and marketplaces built on headless architecture, so one catalog, one cart, and one set of product data serve web, app, and in-store without maintaining three separate builds.

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Data & Analytics

Unified Customer & Inventory Data

One real-time view of the shopper and the stock, consolidated from web, store, POS, and warehouse systems, so a question about a customer or a SKU is answered on request rather than after an overnight batch.

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Machine Learning

Personalization & Recommendation

Models that read intent across the full session rather than the last click, so recommendations reflect what the customer is currently looking for and update as the session continues.

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Computer Vision

Visual Search & In-Store Intelligence

Visual search that lets a customer find a product by photo, with shelf, queue, and footfall analysis for store teams. Models run on edge devices in the store, so results are available in the aisle rather than after upload.

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Integration

Omnichannel & Marketplace Integration

The connective layer between storefront, POS, ERP, and every marketplace the retailer sells on, so price, stock, and orders stay in sync in real time rather than drifting apart channel by channel.

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Cloud & Performance

Peak-Ready Cloud & Performance

Infrastructure that scales into the spike and back down again, with the observability and performance engineering that keeps checkout responsive when traffic is at its highest.

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The Latest

Our Insights.

Expert perspectives on technology trends, industry best practices, and digital innovation shaping the future of business.

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Let's Put Your Customer Data To Work.

Tell us what your business is trying to see, predict, or personalize, and we will show you the fastest path from the click to the decision.