Shapert

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Overview

$10,000+

Min Project Size

150+

Avg Hourly Rate

2 - 9

Employees

2010

Year Founded

ABOUT SHAPERT

Software Factory with focus on AI & Automation

We provide CONSULTING services to help you pinpoint how technology can most significantly impact your business's growth. Our team examines processes, formulates strategies, and prioritizes scalable automation projects. We also handle IMPLEMENTATION. We don't just outline which initiatives to undertake; we bring them to life. We create tailored technology solutions and seamlessly integrate them into your tools and processes to enhance value and minimize obstacles. With over 15 years of experience since 2010, we have assisted companies in their digital transformation efforts. We possess a deep understanding of both technology and the growth dynamics as well as the challenges businesses encounter. This combined approach—strategy and execution—enables us to be your partner throughout your entire technology journey, from spotting opportunities to delivering measurable outcomes.

LANGUAGES SPOKEN

English

HIGHLIGHTS

$10,000+

Min Project Size

150+

Avg Hourly Rate

2 - 9

Employees

2010

Year Founded

Services

Focus

Industries

Clients

Services Provided

40% Custom Web Application Development

15% Mobile App Development (iOS & Android)

30% API Development & Integration

15% E-Commerce Development

50% AI Agent & Multi-Agent System Development

50% Generative AI

About the Team

OUR STORY

Our Narrative: Roger Dimant boasts more than a decade of experience in the digital business sector. He dedicated three years at Google, assisting LATAM advertisers in their digital growth, followed by five years as the Commercial and Revenue Director at Tiendamia, a top cross-border eCommerce company. Ariel Kosacoff, a Business Administration graduate and programmer with over 15 years of expertise, established Shapert, where he focuses on creating scalable automated and AI-powered solutions. Together, they bring expertise in Technology, Product, Marketing, and Commercial areas.

Portfolio

AI-Powered Inbound Sales System

Genesia

INTRO. Genesia is a prominent genetic testing lab in Latin America that focuses on prenatal research, offering expectant mothers essential information about pregnancy health. With a rise in demand across platforms like their website and WhatsApp, their traditional manual sales process became untenable. Selling genetic tests necessitates a blend of empathy, medical precision, and trust, complicating scalability. Genesia required a solution that could manage sensitive discussions effectively while ensuring strong commercial results. CHALLENGES. The sale of prenatal genetic tests is naturally complicated. Expectant mothers typically have numerous inquiries about safety, procedures, timelines, and reliability, requiring thoughtful and accurate answers. The sales process included various stages, from education to addressing concerns, but the sales team faced challenges such as slow response times, inconsistent messages, and missed opportunities. Furthermore, insufficient integration with the ERP system hindered the ability to provide real-time pricing and precise quotes. SOLUTION. We introduced a multi-agent AI system to automate and enhance Genesia’s inbound sales operations. Specialized agents were tasked with managing empathetic conversations, giving technical product details, and performing commercial functions like real-time pricing and payment link generation through ERP integration. A central master agent coordinated interactions and transitions, providing a smooth experience via a single WhatsApp interface that was human-like, cohesive, and reliable. IMPACT. The AI system generated $150,000 in monthly revenue, reduced response times from hours to seconds, and operated continuously. Conversion rates rose by 40%, customer satisfaction saw notable improvement, and over 2,000 conversations per month were handled efficiently. Human agents were able to concentrate on more complex issues, while AI effectively managed routine interactions at scale.

Automated Patient Communication & Documents System

Genesia

INTRODUCTION. After implementing its AI sales system, Genesia recognized inefficiencies in patient communications following a sale. Once a test was purchased, patients were required to fill out pre-care forms, sign consent documents, and receive sample collection instructions. These processes were handled manually, leading to delays, increased administrative burdens, and coordination problems among patients, partner labs, and internal teams. Genesia required an automated, secure, and compliant solution. CHALLENGES. The post-sale operations depended on manual document distribution, follow-ups for missing forms, and tracking statuses. The need for legally valid digital signatures on consent forms added to the complexity. Patients faced inconsistent or delayed communication, while the back office was bogged down by repetitive tasks. CRM updates were fragmented and entered manually, raising the risk of errors and compliance issues. The system needed to manage sensitive medical information while aligning with Genesia’s workflows. SOLUTION. We developed a comprehensive automation system using n8n to coordinate the entire post-sale process. After a purchase, patients automatically received customized instructions and digital consent forms. A secure digital signature solution allowed signing from any device, alongside automated verification and storage. Role-based document generation created personalized PDFs for patients, partner labs, and internal teams. The system provided real-time synchronization with the CRM, sent automated reminders, and escalated exceptions as necessary. IMPACT. The administrative workload decreased by 70%, document completion rates rose from 65% to 94%, and the time from purchase to sample collection was reduced by 5 days. Over 1,500 workflows were processed each month with almost no errors, CRM accuracy improved, and compliance documentation became automatically ready for audits, greatly enhancing patient satisfaction.

AI-Powered Conversational Analytics Layer

Omnia

INTRO. Omnia is a prominent SaaS platform catering to call centers and CX teams throughout Latin America, providing solutions for workforce management. Although the platform collected extensive operational data—including attendance, performance, scheduling, and forecasts—non-technical users found it challenging to derive actionable insights with the existing BI tools. Omnia recognized an opportunity to stand out by offering natural language access to data, overcoming technical hurdles for Team Leads and Supervisors. CHALLENGES. Despite the availability of data, accessing it was not straightforward. Users often relied on analysts for even basic inquiries, leading to bottlenecks and slow decision-making processes. The workforce data was distributed across various systems and required contextual understanding, making even simple questions operationally complex. Furthermore, the solution had to be scalable for Omnia’s entire customer base while maintaining strict data isolation in a multi-tenant environment. SOLUTION. We developed a conversational AI layer integrated into Omnia’s platform, enabling users to interact with their data using natural language. This system utilized a RAG architecture, blending LLM reasoning with accurate, tenant-specific data retrieval. A semantic layer converted business inquiries into optimized database queries, and robust multi-tenancy ensured full data isolation. Responses were generated in seconds, with the system continuously improving based on user feedback. IMPACT. Customers enjoyed immediate access to insights without needing analyst assistance, resulting in an average labor cost reduction of 8% due to improved staffing decisions. The usage of analytics surged by 300%, support ticket submissions fell by 60%, and this feature became a major sales differentiator, enhancing close rates by 25%. Enhanced product adoption also contributed to better retention among enterprise clients.

5 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

150+

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

150+

Cost Rating

N/A

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Custom Web Application Development

Mobile App Development (iOS & Android)

API Development & Integration

E-Commerce Development

AI Agent & Multi-Agent System Development

Generative AI

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