video1.0<iframe src="https://www.loom.com/embed/e8b195f1d40f4c878131f26029cb6c5f" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/os/loom-media-content/loom/a436116f-02ce-4520-8fbb-7301462a1674/1621dc1f-3702-4525-84ba-fad829566798/sessions-thumbnails-e8b195f1d40f4c878131f26029cb6c5f-c8101a6a7a4c8ed9.gif/binary?authToken=eyJraWQiOiJtaWNyb3MtZ3JvdXAvdGRwLW9zLWFyY2hldHlwZS9xdXNqYjkyNnVtN2FsdWx1IiwiYWxnIjoiUlMyNTYifQ.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.dk_WGLk5mMgLzr9Myexv44DPsyJOKA8Km4i5dJm3fncQSw1ZBtxCwdRFp4rhvtOWluohckoQEGlU96bo1nHC-WBVNeotEfIzghjFcc6Q5s2lPvKFiM2csJtYlOnHT1TnJmCxSemW_KtMfjStxUuF6-9DBGUZ1-tIl82_JZLjNnNPgp9gisuk8VYU4Ke0iT9NImZpjtQclxq_NDGSe1vQEiimUU5kKycMQ3yNlVxf_VRGdt1Q7J69lJs0kgN6WyOT8PdI0hAX0hJ87x2OGRifRv7YOMcO-Orr4-6g_kU3xghyJS7oDAr2DdqdX4qtySLq6W3z5px-MmXNX4dLJdB3FA&Expires=1776372480&Signature=PeTLJ1mpW-4pjJ3HztpK9ajOLug5G--o56OmVrCXJlw0%7Eg0VLHp7GwfbYdv69i6ktyw8FV3t1T28NRHe-hRMMjtITH%7ELxpnJilVxxyVzoW5DynI1XfEdQZcTs2XkCQ-Kq-uqKM5mFOtoykLMJOmTUD3UTvzTd4JK1dQHuEq2yJQctdiI5R1Ml1gc9gJB2YVE9P0H5RnK4KYOocz1ch0nkxiKvcqvyTnMDCIDOGJZJAYT36ks5iKIB4%7Erz%7ESmUY-0L%7Er1fIBii8IV6H29u42ObKE-IEKjsSDuSG6F%7EaJaFvHf1bjoyFUt16PmwDAGHV9ThHXpZupr3ftfAv3Atr5FWg__&Key-Pair-Id=KQOSYIR44AIC08686.592Tasteport started from a founder problem of accessing cultural grocery staples and validated demand through interviews, building a multi-platform e-grocery solution. The team built inventory, fulfillment, driver, and customer platforms, raised institutional capital in 2022, and now operates in ~15 Toronto-area cities with plans for North American expansion. The company chose Atlassian (Jira/Confluence) for global scalability, product management familiarity, and plans to adopt new AI/automation (Rovo) to standardize SOPs and reduce manual operational overhead. Deadlines and blockers **2020** we launched pilots; we raised capital in **2022**. Atlassian: '12 months' access across 50 team members. Rovo planned for **2026** but 'we haven't used rovo yet' because of onboarding global engineers. Roadblocks: 'a lot of money, a lot of time, perhaps security risk.' Next steps Add temporary engineering resources to the Atlassian team and trial them. Adopt Rovo agentic workflows (it is on the roadmap). Set up the infrastructure and formats for agentic use cases. Set up 2026 global SOPs. Use Jira automations and integrate with other platforms (e.g., GitHub). Integrate and implement Rovo long-term. Key points and questions ### Tasteport origin story Co-founders were family and friends with prior startup experience. Worked with advisors from Walmart and Fortune 500 e-commerce. Positioned product as a multicultural AI infrastructure. 1:21 Attendee: Where did the idea come from and how did you execute it? Founder: Started at home after difficulty sourcing South Asian groceries; interviewed 100 people; built a solution. ### Operations and platforms Currently delivering in about 15 cities in the greater Toronto area. Operate five platforms: inventory, pickup/fulfillment, driver, customer portal, and stock/scanning. Accept Excel product files and provide end-to-end grocer solution. 3:05 Attendee: How large is your team and how long have you worked on this? Founder: Just over ten employees and contractors; pilots launched in 2020; launched during COVID. ### Why Atlassian and Jira Startup deal covered 12 months for up to 50 team members. Goal is to democratize e-commerce for grocers lacking internal teams. Plan to add temporary engineering resources via Atlassian seats. 3:10 Attendee: What made you join the Atlassian for Startups program? Founder: Chose Jira for enterprise quality, global scalability, familiarity, and the startup program deal. ### AI for product categorization Models trained with logged data from store baggers and grocers. The model learns from other stores to speed new-grocer onboarding. AI reduces hundreds of manual hours for product organization. 8:39 Attendee: How is AI accelerating your workflow or acting as a teammate? Founder: Use trained models to categorize thousands of products, saving managers extensive manual time. ### Rovo roadmap and interest Rovo has not been used yet; it's planned for global SOPs in 2026. Security and trust influenced choosing Atlassian over building integrations. Want agentic workflows to automate complex ticket labeling across five platforms. 11:09 Attendee: Was Atlassian or Rovo a pull for joining the program? Founder: Rovo was on our roadmap; we onboarded an engineer and plan Rovo for 2026 SOPs.