
Most enterprise case study hubs are a wall of logos. You scroll a grid, recognise a few brands and hope one of them looks a little like you. It tells you who bought — but not whether they solved the problem you are actually trying to solve.
We have organised this hub differently. Instead of sorting by industry or logo, we have organised everything around the checkout challenge that brings enterprise retailers to Awayco Cart in the first place: transactions abandoned at the counter, customer and sales data siloed inside an ageing POS, and average transaction value that refuses to climb. Find the challenge that matches your roadmap and you will find the most relevant answer first.
The thread running through all of them is the same architectural idea. Awayco Cart is built around a single, shared cart state that spans physical POS, web and mobile — the layer most "omnichannel" platforms leave stranded. It is a harder problem to solve than unifying a catalogue or an inventory feed, and it is usually the gap enterprise buyers only discover mid-implementation, once the catalogue is synced and the checkout still cannot follow the customer.
Each section below opens with the problem as the data describes it, then explains how Awayco Cart is designed to close the gap. You do not need to read top to bottom. Jump to the challenge that sounds like your last quarterly review and work outward from there. If more than one applies — and for most enterprise retailers more than one will — the sections are deliberately connected, so you can follow a thread from, say, abandoned baskets through to the data problem sitting underneath them. The point of organising the hub this way is simple: it lets the page qualify you by the challenge you are carrying, not by which logos you happen to know, so the first thing you land on is already the relevant one.
The most expensive basket in retail is the one a customer builds and then walks away from — and the counter queue is where it happens in plain sight. Research consistently puts the numbers higher than most teams expect. Around 82% of shoppers say they will avoid a store altogether if they see a queue, and 68% of those who do join one abandon it before reaching the counter. Of the shoppers who give up, roughly 40% go on to complete the purchase with a competitor instead. Seven in 10 retailers report that a shopper forced to wait will leave within five minutes. This is rarely a staffing problem in the way it looks from the floor. It is a checkout-architecture problem: the transaction cannot move with the customer, so the moment the queue forms, the sale is already at risk.
Because the cart state is shared across every channel, a basket started at a fixture, on a mobile app or on the web is the same live basket at the point of payment — and at any point of payment. An associate can close a sale on a mobile device on the shop floor; a customer can begin in-store and finish on their phone in the car park; a single queue can be broken up across several devices without anyone re-scanning a thing. The transaction follows the customer instead of anchoring them to one terminal. That shared-state mechanism is what turns the counter queue from a lost-sale risk back into a set of ordinary transactions.
Ask an enterprise retailer where their customer data lives and you will often get a diagram rather than an answer. Much of it is trapped inside point-of-sale infrastructure that predates the current strategy. Over 70% of retailers are still running POS software and hardware more than two years old, and 40% depend on systems more than five years old. It shows up in confidence, too: only 13% believe their current technology will meet future customer expectations, and 89% say they fail to scale innovations across the organisation. The result is a checkout that cannot see what the website knows, and a website that cannot see what happened at the till — two versions of the same customer, neither of them complete.
This is the transaction-layer gap, and it is the part of "omnichannel" that is easiest to overlook until an implementation is already underway. Plenty of platforms unify the catalogue, the inventory count and the loyalty record. Far fewer unify the cart itself — the live state a customer is actually holding as they move between channels. Awayco Cart is designed around that shared state as the starting point rather than an afterthought, so the same basket, promotions and customer context stay legible whether the transaction is happening on the shop floor or in a browser tab. It is the difference between a checkout that reconciles after the fact and one that works from a single source of truth as the transaction happens — without ripping out everything else around it.
When average transaction value stalls, the instinct is to discount or to push more training at the floor team. The data points somewhere more structural. Sales rise by an estimated 25% to 50% when a shopper is helped by a knowledgeable associate, and 75% of customers say personalised service is a significant factor in where they choose to shop. Both depend on one thing the associate rarely has to hand: visibility. If the person on the floor cannot see the customer's basket, their history or what they have been browsing online, personalisation is a guess and the upsell never arrives. The lever is not effort. It is information at the point of contact.
A shared cart state turns the associate into the strongest part of the funnel rather than the weakest. Because the basket is the same object across web, mobile and POS, an associate can see what the customer has added anywhere, pick up an online session on the floor, add a complementary item and complete the sale on the spot — the personalised, assisted experience the research keeps rewarding. Average transaction value climbs not because anyone was told to sell harder, but because the tools finally let them sell in context. For most retailers, the answer to flat ATV is not a harder sell; it is putting the full basket in the associate's hands at the moment it matters.
Focus on the challenge in front of you now — not the brand you happen to recognise. Abandoned transactions, siloed data and flat ATV tend to be symptoms of the same underlying gap, so the one you start with will usually lead you to the others. When you are ready to see how a shared cart state would map onto your own stack, a walkthrough is the fastest way to find the transaction-layer gap before it finds you mid-implementation.
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