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e-Commerce & Automation

Automate the operations
software should already handle

If your team spends hours on data entry, inventory checks, manual order routing, or copy-paste reporting — you have an automation problem. We build the systems that make those hours disappear.

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Use case · 01

Multi-channel Inventory Sync

Sub-minute inventory updates across every sales channel. Prevent overselling, automate restock, manage FBA + FBM + 3PL inventory pools as one.

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What's included
  • Sub-minute sync latency
  • Oversell prevention with safety stock rules
  • Bundle / kit inventory tracking
  • FBA + FBM + 3PL split pools
  • Webhook-driven updates (no polling)
  • Multi-warehouse stock allocation
Use case · 02

Smart Order Routing

Route every order to the cheapest, fastest fulfillment path automatically — FBA, MCF, your 3PL, or self-ship — based on rules you define.

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What's included
  • Cost-aware routing across FBA, MCF, 3PL
  • SLA-aware splits (Prime vs standard)
  • Backup routing on inventory dropouts
  • Tracking sync back to originating channel
  • Returns + restock automation
  • Carrier rate shopping
Use case · 03

Pricing & Repricing Automation

Margin-aware repricing tied to your true unit economics. Different rules per marketplace, per product, per competitor situation.

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What's included
  • Margin-floor protection
  • Competitor monitoring (Buy Box, BSR)
  • Per-marketplace pricing rules
  • Promotion automation
  • Stockout-aware pricing pauses
  • Velocity-based pricing tiers
Use case · 04

Ad Automation & Bidding

Algorithmic bidding tied to inventory, BSR, and profit margin — across Amazon Ads, Google, Meta, TikTok, and Walmart Connect.

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What's included
  • Real-time bid adjustments via Marketing Stream
  • Search term harvesting (auto → manual exact)
  • Inventory-aware budget pacing
  • Cross-channel bid coordination
  • Dayparting and seasonality rules
  • Negative keyword automation
Use case · 05

Data Warehousing

Unify Amazon, marketplace, ad, email, and analytics data in Snowflake / BigQuery / Redshift — with dbt models ready for your BI layer.

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What's included
  • Source pipelines from every API or file
  • Properly modeled raw / staging / marts schema
  • Production-ready dbt projects with tests
  • Slowly-changing dimensions (ASIN attributes)
  • BI semantic layer (Looker, Tableau, Mode)
  • Cost optimization (warehouse sizing, SUSPEND rules)
Use case · 06

Reporting & Dashboards

True P&L by SKU, channel, campaign, and cohort — combining fees, returns, ad spend, and COGS into one analytical view.

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What's included
  • Unified P&L by ASIN / SKU / channel
  • Customer cohort and LTV analysis
  • Cross-channel media attribution
  • Inventory health dashboards
  • Automated executive reporting
  • Looker, Power BI, Tableau, or custom React
FAQ

Common questions

Off-the-shelf SaaS works for standard cases — but as soon as you have unique workflows, custom data needs, or unusual marketplace setups, you hit the wall. We build integrations and automations to your exact spec, owned by you, with no per-seat or revenue-share pricing.
Yes. Most clients have a mix of SaaS tools and custom systems. We build the automation layer that connects what you already have, fills the gaps, and adds the workflows that don't exist anywhere else.
Inventory sync and order routing usually go live in 4–6 weeks. Full data warehouse builds run 8–12 weeks. We deliver in milestones so you see value before everything is done.
Yes. APIs change, marketplaces evolve, and your business grows. Most clients keep us on a monthly retainer for ongoing maintenance and incremental builds.
Ready to automate?

Stop doing
work software can do

Book a 30-minute call. We'll find the highest-leverage automation for your operation and tell you what it would cost to build.

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