The aggregator takes a third. Your own channel takes a card fee. Until you know what a plate of biryani genuinely costs to make, pack and deliver, every growth decision is a guess. We build the ordering, POS and inventory layer that tells you.
25% more online orders — FoodChain
Rarely the food. Four operational blind spots account for most of the gap between a busy service and a profitable month.
Commission, the discount you fund yourself, and the promo you had to match to stay visible in the listing. The order shows up as growth on the dashboard and lands as break-even in the accounts — and the phone number belongs to somebody else, so you cannot bring that customer back.
Building a direct channel worth ordering fromRecipes live in the head chef's memory, purchase prices move every week, and wastage is a figure somebody estimates at month end. Menu prices then get set by looking at the restaurant across the road instead of at a cost card, and the best-selling item is often the one making the least.
Recipe costing that updates when purchase prices moveOver-order and it rots in the walk-in. Under-order and the best seller comes off the menu at eight on a Saturday. Both are invisible until the P&L lands six weeks later, by which point nobody remembers which week the problem started.
How a multi-branch POS closed the stock gapA one-star on Google, a DM on Instagram, a word to the rider, and a WhatsApp message to the branch manager who was off that day. No pattern is ever visible, so the same cold-delivery or wrong-order problem repeats for months and only shows up as a slow decline in repeat orders.
Collecting feedback where it can be acted onFood is the one sector that uses our entire stack. Here is what each part means behind a counter.
Your own ordering site, built for one thumb on a phone: a menu that loads instantly, modifiers that mirror what the kitchen can actually do, delivery-zone and minimum-order logic your riders can service, and a checkout that leaves the customer's number in your database instead of somebody else's.
React PHP Laravel Web Development in detail ServiceApps pay for themselves on repeat orders and loyalty, never on first orders. Saved carts, reorder in two taps, live rider tracking, and push notifications timed to when a given customer actually eats rather than when the marketing calendar says to send.
React Native Flutter Dart App Development in detail ServiceFood is a visual category with a weekly news cycle. We shoot against the dishes with the best contribution rather than the ones the chef is proudest of, and build branch-level content so each location has something local to post instead of resharing head office.
Meta Ads Manager Google Analytics Hootsuite Digital Media Services in detail ServiceRadius-targeted campaigns per branch, dayparted around your real peaks rather than a national average, and offers constructed from margin data so a discount never lands on the dish that already makes you nothing.
Meta Ads Manager Google Ads LinkedIn Campaign Manager Paid Ads in detail ServiceThe system of record: POS on the counter and the waiter's tablet, recipe-level costing, purchase and wastage capture, stock transfers between branches, and a dashboard that reports contribution by dish rather than sales by dish.
PHP Laravel MySQL POS & ERP Systems in detail ServiceWhatsApp order taking and confirmation, automated feedback collection an hour after delivery, complaints routed to the branch manager with the order attached, and reservation handling that stops the landline ringing in the middle of service.
OpenAI API Google Cloud AI Dialogflow AI Integrations in detailTypical movement across our food engagements. Your current aggregator mix and wastage rate decide how much of it is available — we will say so before you sign anything.
Full write-ups — the challenge, what we actually built, and what moved afterwards.
Manual order management led to errors. No online ordering system. Inventory tracking was Excel-based causing stockouts and waste.
25% increase in online orders. Inventory waste reduced by 30%. Order accuracy improved to 99.5%. Revenue increased by 35% in 3 months. Read the FoodChain case study E-Commerce — shared playbookStyleHub's legacy platform couldn't handle peak traffic. Slow load times caused 40% cart abandonment. Their ad spend had diminishing returns with no audience segmentation.
Sales doubled in the first month. Page load time reduced from 4.2s to 0.8s. ROAS improved from 2.1x to 5.8x. Cart abandonment dropped from 40% to 12%. Read the StyleHub.pk case study Healthcare — shared playbookHealthFirst was overwhelmed with patient queries. Their call center handled 500+ calls daily, with long wait times causing patient frustration.
70% of queries handled by AI. Patient wait time reduced from 12min to <1min. Staff saved 200+ hours/month. Patient satisfaction scores increased by 45%. Read the HealthFirst Clinics case study
Restaurant project
Cross-platform ordering and delivery app with live tracking and kitchen-side dispatch.
25% more online orders Open the FoodChain Delivery App project
Restaurant project
Custom POS with inventory, stock transfers and a real-time management dashboard.
30% less stock waste Open the Multi-Branch Retail POS project
E-Commerce — same service
Full-featured online store with payment integration, headless CMS and sub-second load times.
2x sales in month one Open the StyleHub E-Commerce Platform projectNothing gets marketed until we know what it earns. That order matters more in food than in any other sector we work in.
We build a real cost card for your top twenty dishes including packaging and delivery, then set the true contribution of an aggregator order beside a direct one. Every decision after this is made against that table.
Counter and kitchen flow first, then purchase and wastage capture, then your own ordering site with delivery zones drawn around what the riders can actually cover at peak.
QR codes on tables, receipt and packaging inserts, and paid local campaigns pointed at direct ordering — with a first-order incentive priced out of the commission you stop paying.
A quarterly review by contribution and popularity: what gets promoted, what gets re-priced, what comes off the menu entirely. Feedback automation feeds the same review with the operational complaints.
Want a number before you talk to anyone? Size the ordering build with the website cost calculator, then test the payback against the commission you stop paying using the ROI calculator.
No, and be wary of anyone who says otherwise. Treat the aggregators as paid acquisition: they are excellent at discovery and terrible at retention. Keep them for new customers, then use packaging inserts, QR codes and a first-order incentive to move the repeat customers onto your own channel where the same order carries twenty to thirty points more margin. Measure the two channels blended, not against each other.
Yes — that is a design requirement, not a feature. The till runs local-first: orders, payments and prints all work offline and queue for sync. When the connection returns, the queue replays in order and any conflict — a stock movement recorded twice, a price changed centrally mid-service — is surfaced for a human rather than silently resolved. A cloud POS that stops taking orders when the fibre is cut is not a POS.
The top twenty dishes usually cover around eighty per cent of volume, and that is enough to start. We need standardised recipes with actual yields, current purchase prices, and an honest wastage estimate per station. Working with the head chef, that is about two weeks of part-time effort — and it is the single highest-return fortnight in the whole engagement.
Yes. Menu, price and availability are set per branch with a central default, so a franchise in a different city can carry a different price band without maintaining a separate system. Purchasing can stay central, stock transfers between branches are tracked with in-transit accounting, and reporting rolls up as well as drilling down to one till.
Only when there is a reason: loyalty balance, saved addresses, a two-tap reorder, or an offer they cannot get elsewhere. We almost always launch web ordering first, watch the repeat rate for a couple of months, and only build the app when the numbers show a base of regulars worth the install friction. Building it first is how restaurants end up with an app and eleven downloads.
Both are part of the POS build rather than bolt-ons. Orders route to the right station — grill, cold, bakery — either on a screen or a printer, with timing so a starter and a main land together. Dispatch either integrates with your existing fleet app or runs as a simple assignment board with delivery-time tracking, which is what most single-city operations actually need.
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