Fudov

Courier Daily Summary: Payouts Without the Errors

2026-07-29T09:59:33.226Z

End of the day. Shifts are closed, the last order delivered. And every manager running a delivery network on Syrve faces the same question, day after day: how much do we actually owe each courier for today?

Sounds simple. But a dozen details hide behind it — hourly rates, seniority, zones, mileage, bonuses for the fastest riders. And as long as it's all done by hand, mistakes are only a matter of time.

We automated this calculation for Syrveon the Fudov Smart platform. Here's how.

What Syrve already handles

Syrve does a great job managing couriers, routes and the driver app. What it doesn't include is a built-in engine for calculating courier payouts by flexible rules. If your payout logic is simple, the standard tools may well be enough.

But clients come to us who need to calculate payouts by their own rules — rules that are hard or impossible to set up in the back office.

What formulas clients bring us

Every request falls into one of three groups.

1. Paying for time worked. If courier shifts open and close correctly in Syrve, this part can be fully automated: we pull all shifts for the period, sum the hours worked, and multiply by the rate. Possible options:

a single rate for everyone — e.g. €13/hour;
individual hourly rates for specific couriers;
different rates for walking, bike and car couriers;
a higher rate for seniority — if a courier has worked more than one year, or more than three.

2. Paying per delivered order. This is where the options multiply:

a flat payment per order — e.g. €4;
different rates on weekdays and weekends — €4 and €5;
a separate rate for each delivery zone;
distance-based pay — for every kilometre from kitchen to address;
a seniority bonus — e.g. +€0.50 per order;
a personal bonus for the fastest couriers — e.g. +€1 per order.

3. Custom rules of their own. For example:

a courier on a trike gets €100 per day no matter what, plus extra for every order above target;
a reduced payment when a courier carries several orders to the same building or business centre in a single trip.

These rules combine any way you like — tailored to a specific delivery network.

The result

We packed all of this into a single report and called it "Courier Daily Summary". It's available to Fudov Smart subscribers.

The report shows everything you need for the calculation, courier by courier. Here's a real example: courier James — 5 orders, 4 trips, 6 h 43 min on shift, average delivery time per order 13 minutes. For every trip you can see the dispatch and delivery time, minutes en route, the zone, and the final delivery cost.

The manager no longer calculates — they just verify.

The new report on Fudov Smart — "Courier Daily Summary"

Why it's useful

The "Courier Daily Summary" report helps you:

calculate courier payouts fully automatically, by your own rules;
drop the manual exports and end-of-day reconciliation in Excel;
make the math transparent for the couriers themselves — it's clear what every amount is for;
rule out accountant and manager errors.

How to get it for your network

The report is already connected to our demo account and available to Fudov Smart subscribers.

To make it calculate payouts by your rules, we need just one thing — your formula. However non-standard it is: those are exactly the tasks we love to take on.

Interested? Tell us how you pay your couriers today, and we'll set the calculation up for your network. We'll add a free trial so you can see the value on your own data.

Support contacts:

Telegram support bot
Email: hello@fudov.ru

If you work on iiko, we build integrations for it too and write about them in our Russian-language blog: blog.fudov.ru.

#syrve

#fudov

#couriers

#delivery

#analytics

New Report: "Trends" for Like-for-Like Analysis

2026-07-13T14:47:27.163Z

The new "Trends" report in Fudov Smart helps you compare revenue, order count, and average check across comparable periods — from the last three weeks to scenarios like "two years ago, last year, now."

This kind of like-for-like (LFL) analysis shows which changes in your numbers come from network growth, and which come from seasonality, promotions, or shifts in order structure.

Updated report on the Fudov Smart platform – "Trends"

The idea for the "Trends" report came from our partner Dmitry Danilov, from the Moscow-based restaurant group "Vkus i Losos". We realized this kind of period-comparison format would be useful for many Fudov Smart users, so we built the report at our own expense.

The Goal of the Report

The "Trends" report gives management teams a convenient tool for regularly comparing key metrics across comparable periods. It helps assess organic growth, compare dynamics across different time slices, and see how operational changes affect revenue, order count, and average check.

How the Idea Came About

The initiative started from a practical need. The management team at "Vkus i Losos" formulated the request: they needed a dashboard for comparing key metrics across locations, period over period.

A whiteboard at the "Vkus i Losos" office sketching out the future dashboard

In that request, the team laid out the core metrics, levels of detail, and period options they needed for regular analysis. Based on that prototype, we put together a technical spec and built the report using our existing library of calculation modules for Syrve data. That let us ship the solution quickly and then roll it out to other Fudov Smart clients.

Configuration and Comparable Periods

At the top of the report, you set the analysis parameters:

A start date, from which the comparable periods are calculated
Locations
Order types — delivery, pickup, dine-in, pre-orders, and others
Order sources — website, app, aggregators, etc.
A filter to exclude negligible orders

You separately choose the period comparison format. The report supports:

Friday–Sunday, last three weeks
Monday–Thursday, last three weeks
Monday–Sunday, last three weeks
First, second, or third ten-day period of the last three months
First, second, and third ten-day periods of a selected month
Last three full months
LFL: same month two years ago, last year, and now
LFL: month-to-date two years ago, last year, and now

This lets you pick the intervals that actually match how a specific chain runs its business — comparing weekdays and weekends separately, analyzing ten-day periods, or looking at months on a like-for-like basis.

Metrics in the Report

Once the filters are set, the report shows three core metrics:

Revenue for the period, broken down by selected locations and periods
Order count for the period, reflecting changes in traffic
Average check for the period, showing what's actually driving revenue up or down

Each period is color-coded, making it easy to visually compare dynamics across several time slices and locations at once. This format helps you quickly see where changes come from order volume, where they come from average check, and where it's a mix of both.

The Practical Value of Like-for-Like Analysis

Using the "Trends" report helps you:

Assess organic growth without distortion from newly opened locations
Compare the results of marketing campaigns across structurally identical periods
Spot locations that consistently outperform or lag behind the network as a whole
Separate the contribution of traffic and average check to overall revenue dynamics

Thanks to the pre-configured period options, the report is easy to fold into regular management reporting and use as the main dashboard for reviewing results.

Custom Dashboards Built on Syrve

The story behind the "Trends" report is a good example of how a specific partner request turns into a tool that ends up useful for the whole platform. We've built similar reports before — for sales dynamics, cook/delivery time control, and labor cost share of revenue — each one starting from one client's practical need.

The report is already available in our demo account and included for all Fudov Smart subscribers.

If you have an idea for a report or dashboard built on Syrve data that would make running a restaurant or delivery service easier, tell our support team about it. We'll help you scope the requirements, assess feasibility, and, if needed, build a custom solution on Fudov Smart.

Since 2022, we've been building integrations with Syrve and developing reports like this one. Besides analytics, we offer our own courier app and WhatsApp/Telegram bots that help eliminate manual routine and take restaurant and delivery automation to the next level. If you're interested, message our support team — we'll set you up with a free trial so you can see the value on your own data.

Support contacts:

Telegram support bot
Email: hello@fudov.ru

#syrve

#fudov

Syrve Unlocked: Integrations You Never Knew Were Possible

2026-07-10T11:37:47.246Z

Dmitry Rybolovlev, founder of FUDOV.RU and restaurant analytics expert, hosted his second webinar on the iiko platform, sharing how non-obvious integrations can unlock hidden potential — and since iiko and Syrve run on a very similar underlying API, almost everything below applies just as well if you're on Syrve.

Topics covered:

✅ Breaking down click-to-eat time into stages: cooking, packing, waiting on the shelf, and delivery
✅ Building an objective courier rating in WhatsApp and Telegram
✅ Calculating lost profit caused by stop lists
✅ Automating courier payouts based on rates, zones, and bonuses
✅ Fairly comparing cook and courier performance across locations
✅ Analyzing cost structure and trends by product category
✅ Building a custom dashboard from scratch for your business needs
✅ Getting short business summaries delivered straight to WhatsApp and Telegram

Watch the full recording on iiko's official channels — VK and YouTube. It's in Russian.

Open the slide deck: "iiko Unlocked: Integrations You Never Knew Were Possible".

Dmitry Rybolovlev, founder of FUDOV.RU, presenting the webinar at iiko's office

If you think Syrve is missing something, don't jump to conclusions. Syrve isn't a limit — it's a platform you can build almost any custom dashboard or service on top of, for practically any task.

Since 2018, FUDOV.RU has been building integrations on the iiko API (and, since Syrve shares the same lineage, on Syrve too) and creating reports that help restaurants and delivery businesses run more efficiently. We also offer our own courier app and Telegram/WhatsApp bots that ruthlessly eliminate manual routine and take restaurant and delivery automation to the next level.

Interested? Message our support bot @FudovSupportBot or email us at hello@fudov.ru — we'll set you up with a free trial so you can see the value on your own data.

#fudov

#syrve

#webinar

Sales Dynamics Report for Restaurants

2026-05-04T07:37:57.906Z

We've updated the "Sales Dynamics" report and made it more convenient for daily use.

Your menu items are now displayed as a hierarchical tree, so you can immediately see how much revenue each menu category generates for the selected period.

Updated report on the Fudov Smart platform – "Sales Dynamics"

In the root of every branch you see the total revenue for that category — no extra clicks needed.

On the right side of the report there is a detailed sales table for the selected category: number of items sold and the revenue they generated. Dishes are sorted by their share of the category’s revenue so you can immediately see which items are driving the group.

In the same report we added leader / laggard analysis with color‑coded rows:

Green — leaders, items that together make up the top 50% of sales in the group.
Yellow — mid‑range items, between 5% and 50% of the group's sales.
Red — laggards, items that fall into the bottom 5% of the group's sales.

This visualization helps you quickly spot "workhorse" items as well as dishes that should be reviewed or removed from the menu.

We also added a convenient search — both by categories in the tree and by specific items in the sales table. This significantly speeds up analysis, especially for restaurants with a large menu and complex category structure.

What value does the report provide in practice?

The updated "Sales dynamics" report helps you:

Compare categories by revenue and understand which groups are the most promising to grow.
Identify "weak" blocks of the menu where high overheads are not justified by demand.
Make decisions on pricing, positioning and promotions based on accurate data, not gut feeling.

The report is already available in our Fudov Smart demo account and is included for all Fudov Smart subscribers.

Daily revenue digests in chat bots

As a complement to the "Sales dynamics" report you can connect bots that send a daily revenue digest: revenue by category for the day plus like‑for‑like historical analysis by months.

Example — daily breakdown by categories:

🍔 Nordic Burger House

Wednesday | 22 Apr | €5,200

Drinks    ▇▇▇▇▇▇▇▇▇▇▇▇  €1,199
Shawarma  ▇▇▇▇▇▇▇▇▇▇▇▇  €1,181
Starters  ▇▇▇▇▇▇▇       €650
Burgers   ▇▇▇▇          €426
Mains     ▇▇▇           €255
Pizza     ▇▇▇           €255
Salads    ▇▇            €221
Soups     ▇▇            €200
Sauces    ▇             €52
Desserts  ▇             €13

Example – monthly like‑for‑like chart:

🍣 Baltic Roll Bar | revenue, € thousands | 20 Apr

Apr 25 ▇                   257
May 25 ▇▇▇▇▇▇▇             318
Jun 25 ▇▇▇▇▇▇▇             318
Jul 25 ▇▇▇▇▇▇▇▇▇▇          344
Aug 25 ▇▇▇▇▇▇▇▇▇           337
Sep 25 ▇▇▇▇▇▇              305
Oct 25 ▇▇▇▇▇▇▇▇▇▇▇▇▇       376
Nov 25 ▇▇▇▇▇▇▇▇▇▇▇         353
Dec 25 ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇  426
Jan 26 ▇▇▇▇▇▇▇▇▇           341
Feb 26 ▇▇▇▇▇▇▇▇            330
Mar 26 ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇    406
Apr 26 ▇▇▇▇▇▇▇▇▇▇          343

Such messages help owners and managers keep a finger on the pulse and quickly notice changes in demand.

Who we are and how to reach us

Since 2022 we have been building integrations with Syrve and creating analytics reports for restaurants and delivery services on our Fudov Smart platform. Besides reports, we offer our own courier app and bots for Telegram and other messangers that ruthlessly eliminate routine work and take restaurant automation to the next level.

If you're interested, contact us in any convenient way:

via our support bot in Telegram
by email at hello@fudov.ru

#syrve

#fudov