Every 餐厅 comes to us with a real problem — not a shopping list of features. Pick the one that sounds like you. We'll show you what good looks like and what the platform does about it.
We've worked with independents turning over £4k a week and chains turning over £40m a year. The jobs they hire us to do sort into four buckets — grow revenue, cut costs, scale without the wheels coming off, and run full-service 堂食 alongside everything else.
Four levers most operators could be pulling harder — and most of them don't need a price rise.
The problem. Sales have plateaued. Aggregator 订单 are flat. You don't know which lever to pull — marketing? Loyalty? 菜单 changes? 新 channels?
What good looks like. A measurable 10–20% lift over 12 月s from reactivating dormant 客户, surfacing your best items, running meal deals that don't cannibalise margin, and pushing app 订单 where the basket size is 15–25% bigger than web. No guesswork — you can see what each lever did.
How Andromeda helps. Customer database with segmentation, automated win-back campaigns, deal engine with per-channel rules, cross-sells at checkout, branded app with push notifications, and the reporting to tell you which of these is actually working for your 客户.
See the full guide on growing your sales →The problem. Uber Eats and Deliveroo bring volume, but they also own your customer, take a big slice of every order, and compete with you inside their own app. On a £20 order you keep roughly £14. Scale that across a year and it's the single biggest leak in your business.
What good looks like. Most of your repeat 客户 ordering through your own branded site and app. You keep the margin, you own the data, you decide what happens next. 聚合平台 still run — for discovery — but they're not the whole game any more.
How Andromeda helps. Your own branded ordering site, native iOS + Android app, loyalty that only works on your direct channel, automated incentives to shift repeat aggregator 客户 across, and per-channel pricing so Uber users pay a little more than your direct 客户. All plugged straight into the same POS and 厨房.
See the full guide on building your own direct 客户 →The problem. You're taking the same margin on a peak-hour 外送 order as a quiet Tuesday 自提. Aggregator 客户 are paying the same as your direct 客户 — so the aggregator wins twice. Deal pricing was set two years ago and nobody's re-checked it.
What good looks like. Prices tuned by channel (direct, Uber, Deliveroo, Just Eat), by occasion (自提 vs 外送), and by service window. Deals that drive basket size without giving away margin. Price changes rolled out cleanly to every channel in minutes, not days.
How Andromeda helps. Per-channel price uplifts so aggregator users cover aggregator 佣金. Tiered deal engine with minimum-spend logic. Scheduled price changes. Chain-wide overrides with local flex. Clear reporting on margin per item per channel.
See the full guide on optimising pricing →The problem. Your Uber Eats 菜单 has stale photos. Items are out of stock on Deliveroo but live on Just Eat. Modifiers are inconsistent across platforms. Every 菜单 change means logging into three dashboards and remembering what you did on each.
What good looks like. One 菜单, in one place, pushed automatically to every aggregator with the right photos, the right modifiers, the right prices per channel. Items go out of stock everywhere the moment your POS flags them. 新 items launch on all three platforms at once.
How Andromeda helps. Direct integrations with Uber Eats, Deliveroo, Just Eat, Bolt, Wolt and Deliverect. Single 菜单 editor. Per-channel overrides. Real-time availability sync on Deliveroo. Auto-pause on aggregators when the 厨房 gets overwhelmed.
See the full guide on improving aggregator listings →Three areas where most 餐厅 bleed money quietly — and where better tooling pays for itself in weeks, not years.
The problem. 订单 are out the door at 42 minutes when the target is 35. 客户 complain. Refund requests climb. Your 骑手 are running late pickups and cold drops, and you don't know whether the problem is the 厨房, the dispatch, or the 骑手 pool.
What good looks like. Average out-the-door under target for 90% of 订单. Clear visibility into where time is being lost — 厨房 make-time, rack-time, or drive-time. Auto-dispatch that books a third-party courier before the 厨房 gets swamped, without a human touching the screen.
How Andromeda helps. Flight Deck 厨房 display with make-time tracking. Auto-scheduling that measures live throughput and queue depth. Uber Direct and Stuart integrations for on-demand couriers. A 骑手 app with turn-by-turn and GPS back to the store. And the reporting to show exactly where the minutes are going.
See the full guide on improving 外送 times →The problem. Food cost is creeping — 31%, 32%, 33%. You can't tell whether it's wastage, theft, portioning, or supplier price drift. Every 菜单 change risks tipping a loss-making item into your top seller.
What good looks like. A known ideal food cost per item, measured actual food cost against it daily, and a variance report that points you at the 3 items causing 70% of the problem. Recipe-level portion control. Stock counts that reconcile without a calculator.
How Andromeda helps. Rameses PCA (产品 Cost Analysis) with item-level ideal vs actual. Recipe management with sub-recipes. Wastage recording at the till. Stock receive, transfer and count workflows. Food cost percentage reporting that you can actually act on.
Deep guide in build — in the meantime, see Reporting.
The problem. You're over-rota'd at 3pm on Tuesdays and under-rota'd at 8pm on Fridays. Overtime creeps. 新 starters take two weeks to be useful on a till. Payroll reconciliation is a Sunday-night job you dread.
What good looks like. Rotas matched to forecast demand per half-hour. Clock-in at the till, not on paper. Labour-cost percentage visible live alongside sales. Payroll data exported cleanly, not rebuilt from clocking timesheets.
How Andromeda helps. Staff scheduling driven by historic sales per interval. Clock-in/out at the POS with biometric or PIN. Labour-cost percentage on the live dashboard. Scheduled-vs-actual reporting. Payroll export ready for your accountant.
Deep guide in build — in the meantime, see Reporting.
The operational and legal stuff that stops being optional the moment you open a second site or start prepping food for 客户 with allergies.
The problem. Two sites is fine. Five sites is chaos. 菜单s drift apart. 定价 inconsistencies creep in. Promotions launch on Tuesday in one shop and Thursday in another. Consolidated reporting is built by hand in Excel every Monday morning.
What good looks like. A master 菜单 you control centrally, with clean local overrides for sites that genuinely differ. Group-wide reporting that rolls up to one number and drills down to one line item. A franchisee app so area managers can see their patch on their phone. 新 sites live in a week, not a 月.
How Andromeda helps. Central 菜单 management with knock-in/knock-out for local items. Mission Control app for owners, franchisees and area managers. Group reporting with exception alerts. Lab-store sandbox. Phased rollout with a dedicated implementation team. And Papa Johns UK runs 400+ sites on this.
See the full guide on managing multiple shops →The problem. The legal framing is murkier than most operators realise. Natasha's Law specifically covers pre-packed for direct sale (PPDS) — sandwiches wrapped on site for a grab-and-go display, for example. Food prepared to order in a 餐厅 厨房 falls under FIC 2014 allergen rules instead. Either way, you are legally required to make accurate allergen information available to the customer before they order.
What good looks like. Allergen data attached to every 菜单 item at the recipe level, not pinned to a fridge door. Surfaced clearly to the customer on the ordering site, app and kiosk. Flagged on 厨房 tickets. Updated once, appearing everywhere. And a defensible paper trail if something ever goes wrong.
How Andromeda helps. The 14 allergens are first-class data in the 菜单 editor. They render on the customer-facing 菜单, on the kiosk, on the branded app, and on the 厨房 ticket. 菜单 exports can be audited. Suppliers' allergen changes propagate cleanly through the recipe tree. Compliance stops being a quarterly panic.
See the full guide on allergens and Natasha's Law →The problem. Businesses with 250 or more employees in England are required to display calorie information on their 菜单s under the Calorie Labelling (Out of Home Sector) Regulations 2022 — at the point of choice, in both in-store and online ordering. For chains and large groups this is already a legal obligation; for growing independents it becomes one the day you cross the threshold.
What good looks like. Calorie values attached to 菜单 items at the recipe level so changes propagate. Displayed clearly next to the item, at the point the customer decides — on the ordering site, app, kiosk, and printed 菜单. One source of truth across every channel.
How Andromeda helps. Calorie fields on every 菜单 item, rendered automatically in the customer-facing site, kiosk and app. Recipe-level changes flow down to every variant. Easy export for external verification. Ready on day one — so when you cross the 250-employee threshold, you're not scrambling.
Deep guide in build — in the meantime see 菜单 control.
For operators with a dining room, a pub garden, or a bar — let guests scan, order and pay from their phone with no app and no queue at the bar.
The problem. Not enough hands on a Friday night. A beer garden too far from the bar. A pub lunch that needs to turn in 45 minutes but the order-at-the-bar queue is eating ten of them. You don't need another server — you need the guest to be able to order without one.
What good looks like. A QR on every table. Guests scan, browse your 菜单 on their phone, order and pay in one flow — the ticket goes straight to the right 厨房 station, the table gets closed automatically when the final payment lands. No app download, no account, no server in the loop.
How Andromeda helps. Customer-led QR order & pay running on the same POS, same 菜单, same Stripe rails as the rest of the platform.
See the full pillar on QR order & pay →"We came for the online ordering. We stayed because the platform paid for itself three times over — once on 佣金 saved, once on 外送 times, once on labour."
A 30-minute demo is usually enough to show you how we'd tackle your specific problem. No slide deck. Just a working platform on your 菜单.
预约演示