Home/Industries/Product Companies/Operations

AI Engineering for Operations

We automate multi-channel order processing, fulfillment coordination, and returns management — built and operated for you.

Book Assessment →

What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Incoming Request Processing

→

Orders come in from multiple channels in different formats. We normalize, validate, and route them.

order intake EDI processing returns authorization

Data Entry Automation

→

Your team re-types data from one system to another. We eliminate that.

order data shipping details product specs

Report & Dashboard Consolidation

→

Order status, inventory levels, and fulfillment metrics consolidated into real-time dashboards.

order status inventory levels fulfillment metrics

Billing, Payments & Reconciliation

→

Shipping invoices and vendor payments matched and reconciled automatically.

shipping invoices 3PL reconciliation vendor payments

Risk & Anomaly Detection

→

Inventory discrepancies and fulfillment failures caught before they impact customers.

stockout risk shipping delays quality issues

Client Follow-up & Communication

→

Order confirmations, shipping updates, and delivery notifications sent automatically.

order confirmations shipping updates delivery notifications
See How We Work →
Case Studies Pricing

Common Questions About AI for Product Company Operations

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your operations — watching your team process orders, mapping your fulfillment flows, measuring your volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes orders in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts managing exceptions instead of processing every order manually. The transition is gradual, not a big bang.
How does this work with our ERP and order management systems?
We build on top of your existing systems. We integrate with NetSuite, Shopify, SAP, and every major ERP and order management platform. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about multi-channel order complexity?
Every workflow we build handles multi-channel complexity. For order processing, the AI normalizes orders from different channels into your system — your ops team manages exceptions. We maintain audit trails for every automated action. The AI doesn't change your fulfillment rules; it eliminates the manual work of applying them across channels.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: order processing time, fulfillment accuracy, returns processing speed, and operational cost per order. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like order processing or returns automation. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most operations teams start with one workflow, prove the ROI, then move to a dedicated team.

Your operations team shouldn't be the bottleneck.

Book a free 30-minute AI Assessment. We'll map your highest-volume operations workflows and show you the 3 processes with the highest ROI.

Book Your AI Assessment