Advanced Tech Integration and Data Analytics Framework for AgriTech Learning Solutions

GrowBuildLearn (GBL), a division of Social Impact Enterprises, has developed a hybrid AgTech education platform combining smart hydroponic kits, the Growbie AI app, and immersive STEM content. Following its Fall 2025 pilot in schools and community hubs, GBL seeks to launch nationally in 2026. The challenge is to convert localized pilot success into a scalable business strategy—developing a robust, data-driven GTM plan and entrepreneurial roadmap for national impact. How can GBL use tech-enabled tools and emerging entrepreneurial frameworks to convert school-based pilots into a viable, revenue-generating edtech enterprise by 2026? Data & Analytics Strategy Define key business metrics: CAC, partner LTV, kit engagement rates, student impact scores Design framework for feedback loop from Growbie usage to product refinement, growth dashboard design for real-time program tracking, and predictive modeling for school uptake and community demand Advanced Tech Integration Recommend tech integration solutions such as: AI-enhanced onboarding via Growbie (chat-based tutorials, journaling prompts) Sensor-driven growth data auto-fed into dashboards for impact storytelling Engine for program customization based on user type (school vs home) Automation of facilitator onboarding and order fulfillment using Zapier or low-code tools

AI Sales Training Platform: Performance Optimization for Canada’s Next Workforce Model

Problem Statement Social Impact Sales has launched a beta-stage AI Sales Training platform that equips individuals with AI-powered outreach and content creation skills for real-world remote sales roles. Early cohorts show strong engagement but varied outcomes. To evolve this into a scalable, national platform, it must be validated and optimized. How can Social Impact Sales refine its AI Sales Training system based on beta performance data and prepare a Version 1 launch strategy that integrates emerging technologies, aligns with funding opportunities, and enables widespread adoption? Technology Assessment Students will assess and document: Current Stack: GPT (sales prompts), Notion (dashboard), Smartlead & Apollo (CRM), Zapier (automation), Fireflies (meeting transcription), Motion (productivity tracking) Beta Delivery Process: Day 1 training, cohort leaderboard, test scoring, outreach actions Tool Integration & Gaps: Where automation, personalization, or UX can be improved Benchmarking: Comparison with similar AI upskilling programs and micro-job platforms Solution Design Students will propose: A refined platform architecture for Version 1 (V1), covering: Module flow: onboarding, AI literacy, outreach, scoring, feedback Community layer: cohort-based learning, peer sharing Coach layer: oversight, intervention, and performance support AI enhancements: GPT agent for reminders, content suggestions, feedback Implementation Plan GTM Timeline: 6–12 month rollout strategy Risk Identification: Attrition, tech complexity, engagement dips Deployment Phases: Beta > V1 pilot > Partner launch > National expansion Stakeholder Plan: Involvement of funders, training partners, brand clients Data & Analytics Strategy Beta Performance Review: Lead conversion, post engagement, and commissions Time-on-platform, training quiz scores Drop-off analysis and UX blockers V1 Tracking Dashboard: Real-time metrics for admins and coaches Impact Framework: Measurement of skill acquisition, income generated, job placement potential Advanced Tech Integration Strategy Recommend advanced tech solutions such as: Use of GPT agents for trainee support and post-generation Task analysis from Motion & Fireflies for behavioral insights Optional vision integration for video review or outreach authenticity checks Recommendation engine based on top-performing activity logs Financial Feasibility Revenue Projections: Direct: Commissions, licensing, enterprise cohorts Indirect: Sponsorship, workforce grants Cost Forecast: Per cohort, per user ROI Estimates: Based on job placements, outreach success, and client acquisition Tiered Pricing Model: Solo users, NGO programs, workforce agency licensing

GrowBuildLearn: GTM Strategy & Entrepreneurial Scale Plan for AgTech Learning Solutions (2026 Launch)

GrowBuildLearn (GBL), a division of Social Impact Enterprises, has developed a hybrid AgTech education platform combining smart hydroponic kits, the Growbie AI app, and immersive STEM content. Following its Fall 2025 pilot in schools and community hubs, GBL seeks to launch nationally in 2026. The challenge is to convert localized pilot success into a scalable business strategy—developing a robust, data-driven GTM plan and entrepreneurial roadmap for national impact. How can GBL use tech-enabled tools and emerging entrepreneurial frameworks to convert school-based pilots into a viable, revenue-generating edtech enterprise by 2026? Technology Assessment Students will assess: Current state of the Growbie AI app (features, UX, data capture) IoT potential in hydroponic kits (sensor compatibility, data points) CRM/marketing stack readiness (email, outreach, analytics tools) Sales & partner tracking systems (e.g., Airtable, Notion, Zapier workflows) EdTech comparables and benchmarks from other digital learning platforms Solution Design A full GTM plan with core campaign phases, messaging, and segment targeting Partner acquisition workflows for educators, non-profits, and municipalities Early adopter and affiliate outreach systems A scalable digital product offering (e.g., “Grow Club in a Box” or white-labeled kits) Cross-channel content and conversion strategy (email, social, event-based) Implementation Plan 16-month phased rollout: regional launch → provincial scaling → partner licensing Risk mapping (funding gaps, procurement, regulatory delays) Growth milestones and key hires needed at each stage Pilot-to-market execution strategy, leveraging early adopters as testimonials/case studies Financial Feasibility Revenue models: direct-to-school sales, licensing kits and curriculum, affiliate sales Cost structure for hardware, support, logistics, and digital platform Tiered pricing strategy (school, nonprofit, family) Grant, government, and B2B ecosystem mapping for non-dilutive funding Financial break-even and scaling plan

Data Analytics Internship

What is the main goal for this project? Apply Data Analytics Tools Interns will utilize current data analytics tools and techniques to address real-world business challenges. Solve Organizational Problems Interns will use programming and analytical platforms to generate data-driven solutions for organizational needs. Demonstrate Ethical Data Practices Interns will uphold professional and ethical standards in managing and analyzing sensitive data. Evaluate Broader Impact Interns will critically assess the social and business implications of their data analysis and communicate these findings. Collaborate and Communicate Effectively Interns will work collaboratively with team members and stakeholders, delivering clear and actionable insights. What tasks will students need to complete to achieve the project goal? Main Duties: Clean and manipulate data from diverse sources Build dashboards and visualizations Conduct trend and variance analysis Collaborate across departments on analytics needs Perform ad hoc reporting and data storytelling