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Digital Products and Control Towers
One screen that runs allocation, freight, inventory and the decisions in between.
Supply chain and fulfillment buyers do not want another report. They want a single pane of glass: one control tower that shows allocation, freight, inventory, demand, and exceptions, with AI agents handling the volume and senior operators owning judgment. We build the operating interfaces your team lives in, in twelve-week outcome-staked cycles, with every layer inspectable.
No obligation. We pick up.
The pattern
The data exists. The control tower does not.
Allocation lives in one system, freight in another, demand in a third, and the real decisions get made in spreadsheets emailed between teams. Your planners stitch the picture together by hand every morning. Exceptions surface late, after the freight is booked or the allocation is wrong. The intelligence to do better is buried in tools nobody can see across, so the operator flies on instinct.
The fix is not another dashboard bolted on top. It is rebuilding the allocation and fulfillment logic underneath, then giving operators a control tower that shows the whole program on one screen: allocation, freight, inventory, demand, exceptions. AI agents work the volume, senior operators own the judgment, and every recommendation is inspectable down to its data lineage. A glass box, not a black box.
How we do it
Twelve weeks. Production-grade.
Verified value.
One cycle is enough to ship a verified outcome and a working control tower. Multi-cycle programs compound: each cycle widens the surface the operating system covers while the baseline tracks the P&L impact.
Week 0 to 2
Map the program, lock the baseline
We name the pod in the SOW, ingest your allocation, freight, inventory, and demand data onto our harness, and lock an Approved Value Baseline with your ROI-approving stakeholders. The exec closest to the program's P&L signs off in writing.
Week 2 to 9
Rebuild the logic, build the control tower
Senior operators rebuild the allocation and replenishment logic; AI agents do the volume work (data, mapping, instrumentation, exception triage). We ship the single-pane-of-glass interface operators run the program from, with every recommendation traceable to its inputs.
Week 10 to 12
Verify value, then compound
Your stakeholders sign off on Value Created against the Week 2 baseline. The control tower, agents, and operating model stay with you. Cycle 2 expands the surface (more SKUs, more lanes, deeper demand sensing) with no second procurement cycle.
In operation
Production-grade product surfaces, not slideware.
Where we engage
Five shapes inside this domain.
Most programs combine two or three of the shapes below into a single twelve-week cycle. We size the cycle to the value baseline, not to the number of shapes.
Control tower / single pane of glass
One operating interface that shows allocation, freight, inventory, demand, and exceptions together. The screen your supply chain team runs the program from, with AI agents surfacing what needs a human decision.
Fulfillment digital twin
A live model of your fulfillment network that operators can simulate against: reroute freight, reallocate inventory, stress-test a demand spike, and see the downstream effect before committing the real move.
Allocation and replenishment UIs
Allocation cockpits and replenishment interfaces where the rebuilt logic meets the operator. Agents propose the allocation; the operator sees the reasoning, overrides when needed, and acts in one place.
Demand-sensing and S&OP cockpit
Demand-sensing dashboards and an S&OP control tower that pull signal from the field into one planning surface. Senior planners and finance see the same numbers, sourced and inspectable.
Glass-box observability layer
The transparency spine under everything: data lineage, decision audit trails, and exception-management queues. Operators and finance can trace why any agent recommended any move. The opposite of a black box.
Proof
Verified at Fortune 100 scale.
Trusted by teams at...
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How we unlocked a 3x+ return challenge in 12 weeks for Philips by rebuilding allocation and freight logic behind one operating view.
Working capital and freight outcomes shipped inside Cycle 1, signed off by Philips Finance against an Approved Value Baseline locked in Week 2. The control tower, agents, and operating model stayed with Philips. Cycle 2 expanded the production surface.
Commitments
Four contractual commitments,
live in every cycle.
The full set of seven sits on the Services page. These four show up the most often in supply chain and fulfillment transformation engagements.
- 01
ROI or We Pay
A portion of every cycle's fee is staked on validated outcomes against the Approved Value Baseline.
- 02
Transparent Resource Plan
Named senior experts on the SOW. Substitutions need client sign-off. No labor pyramid.
- 03
Vendor-Agnostic Architecture
Open standards, multi-cloud, model-agnostic harness. The control tower runs on your stack, with no lock-in.
- 04
12 Month Hypercare
A full year of hypercare after the control tower goes live, so the operating system holds up in production hands.
Related domains
Programs usually span more than one.
Clients hire us on one problem domain and discover they have the other four. The mechanism is the same across all five: twelve-week cycles, named senior experts, AI agents on production workflows.
Supply Chain Transformation (deep dive)
The deep-dive page for supply chain. Goes further into allocation, demand sensing, inventory and working capital, procurement, and the control-tower interface that ties them together.
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Enterprise AI Operationalization
Move AI out of pilots into the workflows that change the P&L. The operating-model rebuild around named senior experts and AI agents.
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Agentic Execution of Enterprise Workflows
Order-to-cash, procure-to-pay, S&OP, contracts and quote-to-cash. AI agents that close the loop on workflows operators already own.
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Operational Resilience and Working Capital
Cycle-1 margin and working-capital recovery against macro shocks. Defense for the quarter.
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Customer Experience and Service Operations
Agentic resolution, exception management, and service operations that lift CSAT while compressing cost-to-serve.
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Direct line
Cycle 1 in your operation.
Twenty-five minute call. Cycle 1 sketch tied to a real allocation or fulfillment flow in your business. Baseline mechanics, the control tower we would build first, named operators. No slides, no obligation.
No obligation. We pick up.
Frequently asked