Awayco engineers embed with your team to take retail AI from idea to production — arriving with a full retail stack already running for other retailers, deployed in your cloud or ours.
Most retail AI projects stall between the pilot and the store floor. Forward deployed engineers close that gap: we work inside your team, with your data, on your highest-value problem — and stay until it's live and measured.
Because we build on the Awayco platform — personalisation, mobile POS, clienteling, inventory — you start from proven retail infrastructure, not a blank page.
Every engagement starts with one high-value use case. These are the ones retailers bring us most — and the ones where we already have working code, not a starting point.
Forecasts your planners actually trust, feeding the buying model they already use. Sales history, seasonal curves, and cover targets — transparent enough to argue with, accurate enough to order against.
Getting the right stock to the right store. Allocation logic across distribution channels, replenishment rules, and store-level inventory visibility that holds up during peak.
Category-level pricing engines and promotional analytics. Where margin is leaking, what a price move will actually do to volume, and which promotions are buying revenue you'd have had anyway.
Product, cart, and post-purchase recommendations tuned to your catalogue and your customers — not a generic model wearing your brand's colours. Live on the Awayco recommendation engine from week one.
Mobile POS, clienteling, appointment booking, and loyalty — the software your staff use on the floor. Payment provider migrations, staged store rollouts, and the change management that goes with them.
Customer-facing apps where nothing off the shelf fits. Booking, rental, membership, and branded commerce experiences, built on our app studio and shipped to the stores.
A working session with your commercial and tech leads to pick one high-value use case — and define what success looks like in numbers.
Awayco engineers work inside your team, on your data and systems, building on the Awayco platform rather than from scratch.
Live in your stores and channels — with the integration, security, and change-management work done, not deferred.
We prove impact against the metrics agreed up front, then extend the pattern across categories, stores, and markets.
A forward deployed engineer is only fast if they arrive with something. Ours arrive with a full retail stack — data connectors, trained models, and production-grade applications — already built, already running for other retailers, and ready to be shaped around your business in weeks rather than quarters.
Pre-built integrations into the systems retailers actually run: ERP and inventory (NetSuite and equivalents), ecommerce platforms, POS and payment providers, CRM and loyalty. We start from your data where it already lives.
A library of retail models in production today: demand sensing, allocation, pricing, propensity, and recommendation. We tune and retrain against your data rather than starting from a blank notebook.
Application components you can ship: mobile POS, clienteling, appointments, storefront personalisation, and our mobile app studio. Assembled and branded, not written from scratch.
On our infrastructure or inside your environment. Your cloud, your security controls, your data residency — or ours, if you'd rather not carry it. Same stack either way, and the code and models are yours at the end of the engagement.
The stack does the heavy lifting. The engineers do the part no platform can: understanding your business well enough to know what to build.
Our engineers have shipped personalisation, mobile POS, clienteling, and loyalty for enterprise retailers. They speak store operations, not just models.
Every engagement builds on the Awayco Customer AI Platform — the same infrastructure powering recommendations, checkout, and inventory for leading retailers.
We're accountable for systems that run on the store floor and in your channels every day — reliable, secure, and owned by your team when we're done.
Our engineers have shipped forecasting, pricing, and personalisation for some of the largest retailers and brands in the market — and for the independents growing fastest behind them.
A demand sensing engine built into the planning cycle of a national beverage business. Sales history, seasonal curves, and channel signals feed a forecast the buying team can interrogate line by line — and order against. [Placeholder: add scope, duration, and the agreed accuracy metric.]
Forecasting and replenishment logic covering the full store network, tuned to category-level demand patterns and cover targets. [Placeholder: add store count and the result you want to claim publicly.]
Demand sensing across every computer hardware category, feeding buying and allocation decisions at scale. [Placeholder: add scope and outcome.]
Allocation optimisation spanning Asian manufacturing and distribution — matching production and shipment decisions to demand rather than to plan. [Placeholder: add scope and outcome.]
Australia's leading pet retailer runs mobile checkout, appointment booking, ecommerce, and loyalty as one connected experience — from the app to the store floor, with staged rollout and store training included. [Placeholder: add store count and result.]
A category-level pricing engine covering core ranges: where margin is leaking, what a price move does to volume, and which promotions are buying revenue the business would have had anyway. [Placeholder: add scope and outcome.]
Ad-spend optimisation paired with pricing analytics — connecting acquisition cost to margin rather than treating them as separate reports. [Placeholder: add scope and outcome.]
A rental platform built on the Awayco app studio and shipped to stores as a branded customer-facing experience. [Placeholder: add markets live and result.]
Sales and supply chain projects delivered across ANZ, spanning forecasting and operational analytics. [Placeholder: add scope and outcome.]
A demand sensing engine built into the planning cycle of a national beverage business — forecasts the buying team could question line by line.
Australia's leading pet retailer connects mobile checkout, appointments, and loyalty in one experience — from app to store floor.
A rental platform built on the Awayco app studio, shipped to stores as a branded customer-facing experience.
Typically two to four weeks from first conversation to engineers on the ground. The scoping workshop usually happens inside the first fortnight.
No — that's the workshop. We look at where your margin, stock, or conversion is leaking, and pick the one with the clearest path to a measurable result. Choosing badly is the most common reason retail AI projects stall, so we'd rather spend a day on it than assume.
No. Most engagements use one or two components. The platform is there to make us fast, not to lock you in — you can run our models against your own applications, or our applications against your own data infrastructure.
Wherever you need it to. We deploy into your cloud environment under your security controls, or host in ours if you'd prefer not to carry the operational load. Data residency, access controls, and PII handling are agreed before any engineer touches a system.
You do. Everything built for you during the engagement is yours, documented and handed over. The underlying platform components are licensed, and we'll be explicit about which is which before we start.
We embed in it. Our engineers sit in your stand-ups, work in your repos, and pair with your people deliberately — the aim is that your team can run and extend what we built after we've gone. Teams that already have data capability but not delivery bandwidth get the most out of this.
Usually one to three engineers, scaled to the use case, with a data scientist and a solution lead available across the engagement. Smaller than a consultancy bench, and considerably more accountable.
We measure against the metrics agreed in scoping, then either extend the pattern into the next category or channel, or hand over and step back. Both are normal outcomes.
A consultancy sells you a team and a recommendation. We're accountable for a system running in your stores — on a platform we already own and support, with the integration, security, and rollout work included rather than scoped as phase two.
A 30-minute conversation about your highest-value AI use case.
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