B2B Advisory & Production Engineering
Stop leaving contribution margin to greedy heuristics.
Whether your organization is losing margin to split-shipments across regional warehouses, under-pricing perishable B2B inventory, or flying blind on stockout-censored demand, I engineer mathematically rigorous systems that pay for themselves in measurable P&L lift.
Engagement Models
Structured for Rapid, Auditable ROI
Counterfactual Margin & Policy Audit Sprint
3 – 4 Weeks · Fixed-Scope Diagnostic
Typical Investment
Starting at $12,500 USD
E-Commerce COOs, VPs of Supply Chain, and Heads of Pricing seeking immediate visibility into margin leakage before committing to a multi-month build.
Core Deliverables:
- ✓Formal Powell §1.8 Problem Framing & Metric Pyramid specification aligned with GAAP ASC 606 unit economics.
- ✓DuckDB OLAP ingestion of historical order, inventory, and pricing logs with Horvitz-Thompson geographic bias correction.
- ✓Censored demand quantification (measuring lost sales hidden by historical warehouse stockouts).
- ✓Counterfactual Off-Policy Evaluation (OPE) benchmarking your current production heuristics against a baseline CFA/VFA policy.
- ✓Executive P&L Roadmap quantifying projected annual contribution margin lift and p95 stockout reduction.
Custom Stochastic Pricing & Allocation Engine
8 – 12 Weeks · End-to-End Architecture
Typical Investment
$15,000 – $22,000 USD / month
Mid-market and enterprise marketplaces, B2B wholesalers, and multi-echelon retailers ready to replace greedy routing or static price tables.
Core Deliverables:
- ✓Complete Digital Twin Transition Simulator Sᴹ(Sₜ, xₜ, Wₜ₊₁) calibrated on your empirical demand covariance and carrier lead-time distributions.
- ✓Systematic tournament implementation across PFA, BOED-tuned CFA, Shadow-Price VFA, and Direct Lookahead (DLA) policies.
- ✓Hexagonal Python 3.14 microservice with 'Parse, Don’t Validate' ingestion gates and Hypothesis property-based invariant suites.
- ✓Shadow-mode deployment alongside your live traffic to prove counterfactual regret reduction with zero operational risk.
Full-Stack Autonomous Orchestration & Retainer
Ongoing Fractional Principal / B2B Contract
Typical Investment
Custom Retainer or Direct B2B Contract
Engineering and Applied Science teams requiring principal-level architectural leadership in sequential decision systems and fault-tolerant MLOps.
Core Deliverables:
- ✓Distributed Saga process managers with compensating rollbacks (eliminating zombie locked inventory without 2PC bottlenecks).
- ✓Immutable Event Sourcing ledgers with seeded bit-for-bit replay determinism and Transactional Outbox CRM integration.
- ✓Zero-static-credential CI/CD (GitHub OIDC → Workload Identity Federation) with dual-layer IAM & JWT role verification.
- ✓Automated Wasserstein distribution drift monitors, Prometheus/Grafana SLA telemetry, and model-registry deployment gates.
Zero Black-Box Guarantee
The 4-Stage Execution Protocol
Mathematical Framing
Before writing a single line of code, we lock in the Powell §1.8 Linguistic and Mathematical boundary: State Sₜ, Action constraints Xₜ, Exogenous shocks Wₜ₊₁, and the GAAP Metric Pyramid.
Digital Twin & OPE
We materialize your historical logs into a normalized DuckDB spine, de-bias censored demand, and build a seeded counterfactual replay harness to benchmark candidate policies offline.
Shadow-Mode Tournament
The winning CFA, VFA, or DLA policy is deployed inside a strict Hexagonal container alongside live production traffic in shadow mode—verifying latency and margin lift with zero operational risk.
Cutover & Guardrails
We cut over to autonomous execution backed by Simplex safety fallbacks, Saga compensating transactions, and continuous Wasserstein distribution drift telemetry.
Let’s audit your decision pipeline.
Share your current architecture and operational bottlenecks to receive a tailored technical scoping proposal within 24 hours.