50% reduction in supplier admin time, landed cost visibility per shipment, zero missed PO follow-ups.
Supply chain management at the $100K-$1M/mo stage is a full-time job that nobody has time for. The founder is doing it themselves, managing 20-50 supplier relationships through a combination of email chains, WhatsApp messages, spreadsheets, and memory.
Purchase orders are sent when someone remembers. Follow-ups happen when a stockout forces the issue. Lead time tracking does not exist; you know a supplier is "usually about 3 weeks" but you have no data on whether that has drifted to 4. The complexity compounds with international suppliers. Time zone differences turn a simple stock-availability question into a 24-48 hour email chain. Language barriers cause miscommunication about specifications and quantities. Currency fluctuations and payment terms add administrative overhead that nobody tracks systematically. When a supplier is late, you find out because Maya (your inventory system) flags a stockout risk, not because anyone was monitoring the PO.
Landed cost calculation is the silent margin killer. You know the unit cost from your supplier, but the real cost, unit + freight + duties + handling, varies by shipment. Without per-batch landed cost data, your margin calculations are estimates, your pricing decisions are guesses, and you cannot compare suppliers on an apples-to-apples basis.
Raj is your AI Supply Chain Coordinator. He tracks every open PO from order to delivery, follows up with suppliers automatically when ship dates approach without confirmation, calculates full landed costs per shipment, and presents you with side-by-side supplier comparisons when reorders are needed. When Maya flags a low-stock SKU, Raj drafts the PO with two supplier options: "Option A saves $375. Option B arrives 5 days sooner." You choose. Raj handles the rest.
That is why you need Raj.
Each step is automated. Raj only escalates when human judgment is required.
Raj reviews all open purchase orders against expected ship and delivery dates. Identifies POs without supplier confirmation, and flags any that are overdue or approaching their deadline without tracking information.
Raj generates a PO draft with full cost analysis, pulls competitive quotes from alternative suppliers if available, and presents the founder with side-by-side options: unit cost, lead time, landed cost per unit, and total savings comparison.
Raj sends a professional follow-up email to the supplier, requesting ship confirmation and updated ETA. If no response within 24 hours, sends a second reminder and flags the order as at-risk for the founder.
Raj calculates the full landed cost for the shipment (unit cost + freight + duties + handling), updates the COGS record for affected SKUs, and flags any cost variance from the quoted price.
Raj compiles supplier scorecards: on-time delivery rate, order accuracy, lead time trend (detecting drift from historical averages), cost trends, and communication responsiveness. Published to the founder via Slack.
Raj flags the conversation as requiring human involvement, provides the founder with the full communication thread and context, and schedules a follow-up reminder.
Clear boundaries. Raj works autonomously within defined limits and escalates everything else.
Raj connects to the platforms you already use. No new software to learn.
Raj is deployed gradually with measurable checkpoints at every stage.
Monitoring mode first, then gradual rollout.
Pilot begins with the 3-5 highest-volume, most reliable suppliers where routine communication patterns are well established. Week 1-2 Raj ingests historical POs and supplier correspondence to learn each supplier\u2019s format preferences.
Full validation before production deployment.
These AI employees share data and coordinate with Raj to cover your full operation.