DesignSilc builds restaurant POS with KOT, online ordering websites, delivery apps and cloud kitchen software for restaurants, cafés and food brands worldwide.
Restaurant POS with table and KOT
Online ordering website and app
Delivery driver and tracking app
Multi-outlet menu and sales reports
AI forecasts, menu insights & MCP server
DesignSilc is a global restaurant software development company with teams in Dhaka, Austin and the UK, serving clients in 38+ countries. We build restaurant POS, kitchen order ticket (KOT) systems, online ordering platforms and food delivery apps for restaurants, cafés, bakeries and cloud kitchens. We connect front-of-house billing, the kitchen, inventory and delivery in one system, so orders flow from table or app to kitchen without paper slips and owners see sales and food cost per outlet.
Food businesses from London to Dubai to Dhaka depend on aggregators such as Uber Eats, Deliveroo, Talabat and foodpanda, and pay high commissions on every order. A direct ordering website and app lets you keep more of each sale and own your customer list. With 10+ years of experience and 70+ developers, we can build a single-outlet POS or a full multi-brand platform. Every system now includes AI that forecasts what each outlet will sell, watches food cost and takes table bookings on WhatsApp, so managers spend more time on the floor.
Tools for dine-in, takeaway and delivery that cut order errors and show the real cost of every dish.
Table layout, dine-in, takeaway and delivery orders, split bills, tips and service charge, tax and payments by cash, card, Apple Pay or mobile wallet.
Orders sent to kitchen printers or screens by section, with preparation status, modifiers and order timing.
Branded menu, add-ons, delivery zones, pickup times, online payment and order notifications, with no aggregator commission.
Assign orders to drivers, track deliveries live, collect cash on delivery and share ETA updates with customers by SMS.
Recipes linked to ingredients, automatic stock deduction per sale, wastage records and food-cost percentage per dish.
Run several brands from one kitchen, manage menus and prices centrally, and compare sales across outlets and brands.
AI helps front of house, the kitchen and the back office. It predicts covers and portions, suggests add-ons at the till, warns when plate costs rise and drafts replies to reviews, with managers signing off.
Ask how last night's service compared with last week or which dishes lost margin and get a clear answer.
See it in the live demo → PREDPredicts portions per dish and service from sales, weekday, weather and bookings, so prep and orders match demand.
See it in the live demo → COSTRecalculates plate cost whenever a purchase price changes and alerts you when a dish goes above its target cost.
See it in the live demo → MENURanks dishes by popularity and margin and suggests price changes, better placement or items to remove.
See it in the live demo → BOTTakes reservations and answers menu questions on WhatsApp and Messenger, day or night, and logs them in the system.
See it in the live demo → MCPLets Claude, ChatGPT or your own agents check sales, stock and bookings and draft orders for a manager to approve.
See it in the live demo →97%
Success rate
70+
Developers
10+
Years of experience
1k+
Projects delivered
350+
Happy clients
We build Android and iOS ordering apps for your customers, waiter apps for taking table orders on a phone or tablet, and driver apps for delivery. Waiter apps send orders straight to the kitchen and keep working on unstable Wi-Fi. Customer apps offer multi-language interfaces including English, Arabic and Bangla, saved addresses, one-tap reorder, loyalty rewards and payment by card, Apple Pay, Google Pay or local wallets such as bKash.
Investing in Restaurants, Cafés & Food Delivery software with DesignSilc delivers clear, measurable advantages for your company.
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Learn more →Yes. DesignSilc builds branded online ordering websites and Android and iOS apps for restaurants, with your menu, delivery zones and online payment through Stripe, Square or PayPal, or bKash and Nagad in Bangladesh. You keep your customer data and avoid commission on direct orders, while still using aggregator platforms alongside if you wish.
Yes. DesignSilc restaurant POS sends each order to the correct kitchen section as a printed KOT or on a kitchen display screen, including modifiers like spice level or extra items. Chefs mark items as ready, and front-of-house staff can see order status, which reduces mistakes and missed orders during busy hours.
Cost depends on the number of outlets, POS features, whether you need customer, waiter and driver apps, and integrations such as payment gateways and aggregators. DesignSilc provides a fixed quote after a free discovery call for clients in the USA, UK, Middle East and South Asia. Many restaurants start with an MVP POS or ordering website and add apps, inventory costing and more outlets in phases.
A first release of an online ordering website or app with an admin panel typically takes 8 to 14 weeks, depending on menu complexity, delivery logic and payment integration. A POS rollout for a single outlet can run in parallel. DesignSilc delivers in phases so your restaurant can start taking direct orders early.
Yes. DesignSilc builds cloud kitchen software that runs multiple virtual brands from one kitchen, each with its own menu, prices and ordering page, while sharing inventory and staff. Orders from all brands and aggregators reach one kitchen queue, and reports show sales and food cost per brand, which helps cloud kitchen operators see which brands are profitable.
AI covers the whole restaurant: item demand forecasting, upsell suggestions at the POS, kitchen load balancing, delivery time prediction and reservation no-show prediction. Back office features include live recipe cost alerts, menu engineering, stock usage variance checks, smart purchase orders and supplier invoice reading. Guests can book through a WhatsApp assistant, and the system tags review themes and drafts replies. Multi-outlet groups also get branch comparisons and central kitchen production plans.
Yes. Each system includes an MCP server, so Claude, ChatGPT, Cursor or an agent you build can read the live kitchen board, reservations, stock and recipe costs through secure tools. It respects role-based permissions, meaning an outlet manager's assistant only sees that outlet. Purchase orders, menu price changes, rosters and marketing campaigns are created as drafts that a manager approves, and an audit log keeps a record of every request. It works with the AI model you choose, in the cloud or on your own servers.
Tell us about your goals and we’ll get back within one business day with ideas, a timeline and a clear quote.
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