What breaks today
support cannot keep up with product and delivery questions, carts are abandoned, creative production is slow, and competitor pricing is checked by hand.
E-commerce · Data parser
A data parser designed for the reality of e-commerce, with the agreed scope. The process comes first; technology follows it.
Niche logic
A proposed first release is scoped from the operating pain, the necessary data, and one visible acceptance criterion.
support cannot keep up with product and delivery questions, carts are abandoned, creative production is slow, and competitor pricing is checked by hand.
catalogue and stock data, order status, returns, retention scenarios, supplier feeds, and competitor-price monitoring.
A bot answers approved catalogue and stock questions, while a parser updates competitor prices from permitted sources on an agreed schedule. The automated share is measured after launch.
Published cases
A vocal studio runs on a stream of small actions: booking slots, cancellations, reminders, payments, deducting lessons from packages, calculating teacher payroll. While there are only a few students, it all lives in chats and spreadsheets. The moment the studio grows, the admin drowns: leads get lost, someone underpaid, someone didn't show, package balances are counted by hand, and at the end of the month there's a separate saga — calculating each teacher's pay at their own rate. Off-the-shelf SaaS for music schools doesn't fit a specific studio. The interface is overloaded with hundreds of features nobody uses. Pricing is per student or per teacher, so ~$40–200/mo grows right along with the studio. And the template doesn't know this particular studio's processes: one-off lessons vs. deducting from a package, online / offline / both formats, auto-cancellation rules, the Ukrainian Monobank payment flow, working through Telegram. There's no adequate alternative on the market that combines all the needed functionality and doesn't get more expensive with every new student. So we built our own — and used it to cover the studio's entire operation, from the first booking to teacher payroll.
Open caseБізнеси, які ведуть заявки в KeyCRMЗаявки з усіх месенджерів у багатьох компаніях сходяться в KeyCRM. Менеджери там живуть: бачать чати й картки у воронці. Коли компанія ставить AI-бота, він майже завжди опиняється осторонь, в окремій панелі. Бот щось відповідає, а менеджер про це не знає, доки клієнт не напише вдруге. Зробити інакше заважає сам KeyCRM. Його публічне API працює з картками, статусами й полями, але повідомлень у чат не читає і не надсилає. Підтримка KeyCRM письмово відповіла, що передати туди переписку зі сторонньої платформи поки неможливо.
Open caseСпорт · фітнес-студіяГрупи набирали в чатах, тому тренер до останнього не знав, скільки людей прийде. Абонементи рахували вручну, і про те, що абонемент згорає, клієнт дізнавався вже після. Неявки на персональні тренування нічого не коштували, а місце в групі при цьому лишалося зайнятим для тих, хто хотів потрапити. Хто перестав ходити після закінчення абонемента, не відстежував ніхто.
Open caseStarting range
from $100One-off collection and export from $100; regular or more complex parsing from $300; a processing system from $700. Sources, fields, volume and frequency are agreed.This is a floor, not a promise without context. We confirm integrations, data, roles, and rollout scope before fixing the estimate.
Full pricingBefore the first call
Most often: support cannot keep up with product and delivery questions, carts are abandoned, creative production is slow, and competitor pricing is checked by hand. We start from which of these actually hurts in your case, not from a feature list.
Generic tools ignore the operating specifics of e-commerce. We design the system around your actual process: catalogue and stock data, order status, returns, retention scenarios, supplier feeds, and competitor-price monitoring.
The starting range is from $100. One-off collection and export from $100; regular or more complex parsing from $300; a processing system from $700. Sources, fields, volume and frequency are agreed. We confirm scope and timeline after reviewing the required inputs and dependencies.
We first audit the current system, data access and integration limits. What stays, migrates or connects is then documented in the rollout scope.
A grounded next step
Describe the process, product, or business task. We will help determine what should be built, integrated, or automated.