Digitory’s AI agents are digital teammates. Each one looks after a single job, like reordering stock or catching unusual voids. It spots what needs doing, prepares the work and gets it done once you say yes.
Ravi voided 9 bills worth ₹6,400 tonight, 4× his usual.
Tomorrow’s order: 14 items, ₹38,450 from 3 vendors.
312 regulars haven’t visited in 30 days. Offer drafted.
Confirmed 6 tables for tonight on WhatsApp.
Most restaurant software waits for you to look at it. An agent comes to you.
Shows you reports. You still have to find the problem and fix it yourself.
Answers when you ask. Helpful, but only if you know what to ask.
Watches its job all day, tells you what needs doing, prepares the work and does it once you approve.
Pick your kind of venue and watch the AI agents that matter most for it at work. Tap approve, just like you would.
Choose your venue type to start. Each scene shows an agent at work and the people behind it. You approve every change.
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Every agent starts by alerting or proposing. It only acts on its own once it has proven itself, and only within the limits you set.
Spots something and tells the right person, with the evidence.
“Ravi voided 9 bills worth ₹6,400 tonight, 4× his usual.”
Prepares the work. Nothing changes until a person approves with one tap, and every change can be undone.
The reorder agent drafts tomorrow’s purchase order; the store manager approves it.
Does the job itself inside rules you set, and reports what it did.
The booking agent confirms tables of up to 6 on WhatsApp; bigger groups go to the manager.
You don’t open seven reports. The right person gets the right nudge at the right time, and most of it takes one tap.
Yesterday’s numbers and three things to do today arrive on WhatsApp.
Tomorrow’s purchase order is ready. The store manager approves it in one tap.
Tandoor tickets are running 18 minutes. The head chef gets a heads-up.
Tuesday looks slow. An offer to weekday regulars waits for your OK.
Six WhatsApp booking requests confirmed; one group of 12 passed to the manager.
Unusual voids on one terminal. The manager sees the bills behind it.
Open bills and unsettled payments listed, and the close prepared.
Each card shows what the agent does and how much it does on its own.
8 AM on WhatsApp: yesterday’s sales and food cost, what went wrong, what needs your approval, one suggestion.
Ask about any outlet, any module, in plain words. Numbers match your Digitory reports.
Every agent’s proposals in one place. Approve or reject from WhatsApp or the app.
Flags unusual voids, no-charge bills, discounts and reprints by staff, live during service, with the bills behind it.
Before closing: open bills, cash differences and unsettled UPI or card payments, with the close prepared for the manager.
Catches wrong tax setup and GST or e-invoice errors on items before they reach a bill.
“Add Paneer Roll at ₹240, like Chicken Roll” becomes a preview you approve with one tap.
Missing taxes or recipes, duplicate items and price mismatches across outlets, with the fixes ready.
Finds your stars and slow movers from sales and plate cost, and suggests price changes and promotions.
“Tandoor averaging 18 minutes, 6 tickets waiting.” Live prep times by station.
Spots items going to the wrong station or printer and proposes the fix.
“Prep 40 biryani and 25 kebab portions tomorrow”, from history, weekday and events.
Drafts tomorrow’s purchase order from par levels, forecast and open orders. Your store manager approves.
“Chicken 8% over recipe at HSR, mostly Saturday night.” Actual against expected usage.
“Paneer up 12%: 6 dishes lost over 3 points of margin.” Hands over to menu engineering.
Stock close to expiry, with specials or transfers proposed to use it up.
Delivered price against the order or contract price, and price creep by vendor.
Picks the vendor for each order line on price, fill rate and on-time delivery.
Matches delivery notes to orders and invoices, and drafts the short-supply claim.
Drafts each outlet’s indent to the central kitchen from its sales forecast.
Combines every indent into the central kitchen’s production plan.
Stock idle at one outlet while another runs out? It proposes the transfer.
Finds regulars who stopped coming and drafts a WhatsApp offer. You approve the list and the message.
“Slow Tuesday lunches at Koramangala” becomes a targeted offer with the expected return.
For captains: “Regular, window seat, usual Hefeweizen.” Shared only with the guest’s consent.
Drafts replies to Google and Zomato reviews for the manager to approve.
A bad rating alerts the manager and drafts an apology and recovery offer, ideally while the guest is still in.
“Slow service at weekends: 14 mentions. Cold food: 6.”
Answers booking requests on WhatsApp and books within your rules. Large groups go to the manager.
Reminders, deposits for large groups and overbooking within the limits you set.
Flags long-sitting tables at peak and suggests seating.
Guests order from your own menu through ChatGPT, Claude or Google, with no commission.
Items out of sync with Swiggy or Zomato, unmapped items, price mismatches, outlet offline.
Aggregator payouts against orders: wrong commission and missing payouts.
Live revenue, top-ups and queues at each bar, and which counters to open.
Unspent balances, refund batches, and gateway against wallet matching.
The full event report, ready the next morning.
UPI, card and wallet settlements against bills, with each mismatch explained.
Daily sales, purchase and tax entries prepared for Tally. Your accountant approves.
E-invoice failures, GST rate changes, bar excise registers and guest-consent gaps.
Because your POS, kitchen, stock, guests and accounts live in one Digitory, agents can pass work to each other across modules.
Paneer price jumps. The cost agent spots the margin loss and the menu agent proposes a new price or a swap.
Sales history shows a slow Tuesday. The campaign agent offers it to regulars who come on weekdays.
Tomorrow’s bookings and events shape the prep list and the purchase order.
A 2-star rating comes in. The manager gets the bill, the dish and a recovery offer within a minute.
The host sees it’s a regular, their usual table and their usual drink.
Sales, food cost and expenses come together in one profit number per outlet.
Eight AI modules, each with six skills, all working on the same Digitory data. DigiTalk sits in the middle, so one question can draw on sales, stock, guests and bookings at once.
Your assistant across every module
Faster, safer billing and service
Food cost under control
Cashless payments that pay back
Hear every guest, act fast
A full room, every night
Guests who keep coming back
Smooth, profitable events
Proposals show the old and new value. Nothing changes until you tap approve.
Every applied change can be reversed in one tap.
Agents see only the outlets and data the person they work for can see.
What each agent suggested, who approved it and what changed, kept in your account.
A digital teammate that looks after one job, such as reordering stock or replying to reviews. It watches your Digitory data, spots what needs doing, prepares the work and, with your OK, gets it done.
DigiTalk is how you talk to Digitory’s AI: you ask a question and it answers. Agents work in the background on their own jobs and come to you when something needs a decision.
Only if you allow it, and only within limits you set, such as booking tables for up to six people. Everything else is a proposal you approve, and every change can be undone.
No. Agents work inside Digitory, on the data already in your account, and reach you on WhatsApp and in the Digitory app.
Agents follow the same roles and outlet access as your team. Guest phone numbers stay masked, and guest data is used only with consent.
All agents run on the Digitory modules you use. If you use POS and inventory, for example, you get the POS, kitchen, menu, inventory and purchasing agents.
We’ll show you the agents that matter most for your venue, and how approvals work on WhatsApp.
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