HP Rebuilt Its Manufacturing Footprint in a Year. Did the Data Keep Up?

Turn Dock Surprises Into Planning Decisions

What changes:

When a partial shipment leaves Vietnam by ocean or a pallet of workstations ships from Thailand by air, your planner in Palo Alto knows exactly what’s in transit days before it reaches the hub, regardless of what system the CM or carrier runs.

That early signal gives your team enough time to adjust the production schedule, source alternative supply, or reset customer expectations. A single PO to a CM becomes three shipments across two modes, and the platform connects all of them back to that original order so your planner sees whether the full quantity shipped and when each piece arrives.

The data pulls directly from the carrier or forwarder across all modes in one platform, so new partners connect in days and your team stops chasing emails and phone calls for updates.

What this looks like in practice:

• A global electronics manufacturer cut procurement team manual work by 70%, accelerated supplier onboarding from weeks to days, and reduced integration costs by 80%.
• A global storage and semiconductor company is integrating five systems, including their WMS and three major 3PL providers, into a single inventory and shipment view.
• Graphic Packaging International freed 2 to 3 hours per team member by automating freight updates.

Make Every Border Crossing a Deliberate Decision

What changes:

Your trade compliance team sees every inbound shipment’s origin, duty classification, and documentation status while it’s still in transit, updated continuously across 98% of global ocean container traffic. That gives them days to prepare documentation, confirm duty classification, and choose the best port of entry before a shipment clears customs.

When port congestion or a tariff change happens while goods are already on the water, your team sees it early enough to reroute to a different port. Finance gets the landed cost impact of each decision automatically, so margin forecasts reflect what’s actually crossing borders.

What this looks like in practice:

• Bayer Crop Science can now see ocean container positions globally in real time and reroute to a different port or switch shipping modes when conditions change mid-transit, turning reactive trade decisions into proactive ones.
• First Solar automated invoice generation upon delivery, giving finance precise freight cost data instead of estimates.

Get the Signal to Finance, Sales, and Procurement Before the Decision Window Closes

What changes:

When a shipment is delayed, finance, sales, and procurement find out at the same time your supply chain team does. An automatic alert hits SAP and email with the new ETA and every affected order. Finance adjusts accruals, sales gets ahead of customer commitments, and procurement acts on sourcing alternatives before options run out. Every one of those responses is cheaper when it happens early.

Your team sets the rules for what gets handled automatically and what escalates to a human. At HP’s volume across 170 countries, that means your people spend their time on the ten exceptions a day that need judgment instead of triaging hundreds that don’t.

What this looks like in practice:

• A major electronics distributor reduced inventory by 1% through improved supply chain intelligence feeding planning and procurement decisions. At HP’s inventory scale, 1% is real money.
• A global CPG company saw its AI agent handle 86% of exception communications autonomously, routing the right alert to the right team without manual triage.

Give Your Service Team Their Day Back

What changes:

Your channel partners and enterprise customers get a self-service portal with order status, predictive ETAs, and proof of delivery in one place. When a shipment is delayed, they’re notified automatically. The routine “where’s my order?” inquiries get handled by an AI agent that responds with real-time status, around the clock, without your team involved.

The hours your service team currently spends on manual lookups go back to building relationships with the partners who drive 85% of HP’s revenue. And when an ETA shifts, your sales team sees it at the same time the customer does, so they’re never caught off guard in the next conversation.

What this looks like in practice:

• At Coca-Cola, inquiry response times dropped from 90 minutes to seconds, returning hundreds of hours to their associates annually.
• Church & Dwight a single team saved 25 hours per week on automated track-and-trace responses, with AI handling load status inquiries around the clock.