SellerCrew: Amazon seller operations suite

SellerCrew evolved from AMZDock (2016-2020) into an Amazon seller operations SaaS covering follow-ups, coupons, analytics, and reporting. It was built in the same operating loop as Simicore and supported day-to-day execution at roughly $1.3M-$1.7M annual gross revenue scale.

Story

SellerCrew developed across 2016, 2017, and 2020. The earliest phase started as AMZDock CRM, focused on one practical need: run Amazon post-purchase operations from one place. The first operating version centered on follow-up calls, coupon handling, and lightweight outreach analytics so remote assistants could work from a clear priority queue instead of fragmented tools.

From 2017 onward, the product moved through an AMZDock 5.3 transition phase. The architecture shifted from a legacy AngularJS plus separate PHP service model toward a stronger SaaS foundation with Laravel-centered services, queue-backed background processing, and broader operational modules.

By 2020, the platform matured and was rebranded as SellerCrew. Feature scope included daily-priority dashboarding, post-order follow-up queues, Twilio browser calling with recordings, coupon inventory and send workflows, outreach funnel analytics, product and market research views, return/refund signal capture, auto-email operations, and year-end reconciliation reporting.

Across all phases, the main throughline was operational leverage: reduce manual coordination, make team activity auditable, and convert fragmented seller workflows into repeatable systems. SellerCrew was built in the same operating environment as Simicore, where I ran an Amazon FBA brand at roughly $1.3M-$1.7M annual gross revenue and needed dependable workflows for follow-up, reconciliation, and daily execution.

Post-order follow-up queue showing call status, customer context, and action-ready workflows.
SellerCrew’s reconciliation features helped process Simicore’s 1099-K ($1.79M gross) for year-end tax reporting.

Impacts

  • Consolidated post-order calling, status updates, coupon actions, and outreach tracking into one workflow for remote VA teams, reducing handoff friction and spreadsheet dependency.
  • Standardized follow-up execution with explicit call states and recording-backed QA, making coaching and accountability auditable at the order level.
  • Turned tax-year reconciliation from a months-long manual process into repeatable reporting workflows with consolidated sales, refund, and expense signals.
  • Evolved the product from internal operations tooling into a subscription SaaS platform with account lifecycle, billing, and Amazon account sync support.

Challenges & Solutions

Challenges

  • Post-order operations were fragmented across calling, coupon tracking, and spreadsheets, which slowed teams and created handoff errors.
  • Early architecture needed to support fast workflow iteration, then later support broader SaaS product requirements.
  • Outreach quality and agent performance were difficult to audit consistently across distributed assistants.
  • A growing product surface required a more scalable deployment and operations model than the original hosted setup.

Solutions

  • Built a single operational flow from follow-up queue to call completion to coupon action, with shared status definitions and centralized records.
  • Evolved from AngularJS plus PHP API services toward a unified Laravel-centered platform, then modernized the frontend in the SellerCrew phase.
  • Added call recording, playback, and workflow state tracking so QA, coaching, and accountability were built into day-to-day operations.
  • Moved from Forge and DigitalOcean-style hosting toward AWS-oriented, queue-backed SaaS operations with Laravel Vapor-era deployment patterns.