After scaling successfully with our custom mobile software—automating his warehouse, shipments, and Amazon Seller Central listings—a top-tier Amazon seller ran into a new bottleneck: purchasing.
Even with automation elsewhere, the PO process was stuck in manual mode.
Buyers spent days analyzing trends, stock levels, and supplier history.
Manual delays translated to lost sales and market share.
The backend ran smoothly, but decision-making lagged far behind.
The operation was automated. The decision-making wasn’t.
We stepped in again—this time, with an AI-first approach.
Research cycles collapsed into confident, data-backed decisions.
No more starting from scratch — just reviewing and validating.
Custom engine suggested complete, context-aware purchase orders.
Included trends, seasonality, supplier history, lead times, and velocity.
From 7 days of research to 2 hours of confident decision-making.
The buying process didn’t need more people — it needed better decisions.
With AI automating the heavy research, PO creation became faster, smarter, and more profitable — unlocking scale without additional headcount
Buyers now finalize purchase orders in under 2 hours.
Quicker decisions led to higher sales and better Buy Box retention.
AI-driven suggestions replaced gut-based purchasing
Seamless fit with existing mobile ERP and Seller Central systems.
“This AI system didn’t just save time — it let us scale without hiring more buyers. We went from chasing spreadsheets to growing strategically.” — Amazon Seller Client
Integrated cleanly into existing tech stack — no rip-and-replace required.
Cash flow improved through tighter, more responsive ordering.
Efficiencies multiplied at scale — a force-multiplier for ops.
Historical demand, supplier behavior, and seasonality all accounted for.
Stop letting your growth stall at the decision-making stage.
Start using your own data to move faster, smarter, and ahead of your competitors.