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Overview
Engineered an intelligent, end-to-end sales department automation pipeline powered by a custom Telegram bot. The system slashes post-call administrative routines by automatically generating personalized commercial proposals in PDF format, updating CRM pipelines, and notifying managers within 10 seconds of call completion.
The Challenge
Sales teams waste 7 to 10 minutes per client on manual CRM data entry, repetitive document template editing, and PDF conversions. This overhead limits managers to a maximum of 10 calls per hour while increasing human-factor errors and lead leakage.
Tech Stack & Core Engineering
• CRM Verification & Routing: Built advanced multi-branch conditional routing in Make (Integromat) to search for duplicate records by phone number or tax ID, dynamically updating existing cards or creating new ones with "Proposal Sent" status.
• Document Generation Engine: Programmed automated data extraction that injects client variables directly into corporate letterheads, calculates custom pricing, and generates clean PDFs instantly.
• Secure Infrastructure: Implemented fault-tolerant token authentication, secure SSL protocols, duplicate deal protection filters, and 24/7 logging via Google Sheets and Gmail SMTP.
The Result
• Boosted sales team performance from 10 to 25 calls per hour, achieving 2.5x operational growth.
• Accelerated entire post-call lead processing and proposal delivery down to 10 seconds.
• 100% elimination of manual data entry errors and duplicate deals within amoCRM.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Lovely cohesive work, Alex. The motion is spot on!
SES AI is a battery technology company accelerating the energy transition through AI-powered material discovery, battery development, manufacturing, and management.
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This looks insane. The robotic arm with the battery cell is such a strong visual. Love how clean you kept it despite it being AI heavy.
I built this speculative mineral cabinet to simulate ultraviolet fluorescence and light-wavelength transitions directly in the browser inside a clean interactive UI.
Users can flip the cabinet lamp between 5500K daylight and 365nm longwave UV to watch dull, grey stones instantly catch fire. The system catalogs seven fictional specimens from Verdigrite to Duskbloom mapping out their host lattices, trace metal activators, emission wavelengths (from 416nm cold violet to 640nm rose pink), and seam localities. If you switch the lamp back to daylight, the borrowed photon energy cuts off immediately, while specimens like Sporewort hold a brief half-second phosphorescent linger before going dark.
Everything runs on the client side using JavaScript, CSS, and HTML5. The stone visuals, wavelength states, and spectrum plots render locally in the browser without relying on heavy external assets or server calls. The page updates the crystal glow, the three step photon excitation breakdown, and the spectral chart in one pass. I even included a control specimen called Nullstone with zero trace activators. So when someone flips on the UV lamp, it stays completely dark and inert instead of faking a glow.
The ragebaiting part was to format and structure out the mineralogy lore and wavelength data so it felt clean and fast. Putting the activator traces, nanometer readings, and locality codes right beside each stone makes it easy to read the numbers while looking at the crystal glow. No distractions. Showing the emission spectrum chart at the bottom also helps visitors see where every specimen sits on the visible band before cutting the lamp.😊
