We take accountability seriously.
Hylogic only accepts work where we can directly influence outcomes, because that is how we protect your investment and our reputation. Our teams are intentionally balanced and senior-led.
They combine strategy, systems, and execution expertise so we can define the right answer, build it correctly, and get it
adopted. The result is not a deck. It is a planning capability your organization can run, trust, and improve over time.
Advanced Planning System (APS) Implementation
We deploy and optimize leading APS platforms, including Kinaxis Maestro, o9,
Blue Yonder, and select next-gen solutions. Our approach is designed to reduce
implementation risk, accelerate time-to-value, and ensure the platform is usable
in day-to-day operations, not just technically “live.”
APS Implementation Methodology (AIM)
Hylogic’s AIM delivers predictable outcomes through six stages:
Plan → Design → Integrate → Develop → Evaluate → Release
Every phase includes formal deliverables, embedded change management, and KPI-backed success
criteria. We focus on the planning behaviors and decisions the system must enable, then build the data
model, integrations, and user experience to support those decisions at scale.
Typical Outcomes:
- Higher adoption and planner confidence through fit-for-purpose workflows
- Fewer post-go-live “rescue” efforts due to better upfront design and testing
- Sustained performance through clear governance, training, and KPI ownership.
Demand Planning and Forecasting
We build forecasting capabilities that are resilient in volatile categories and actionable for
the business. That includes statistical forecasting, demand sensing, and the organizational
process needed to translate signals into decisions.
How We Improve Accuracy:
- Multivariate forecasting models incorporating drivers like weather, media, marketing, macro signals, pricing, and distribution.
- Forecast value-add (FVA) and bias reduction to ensure human overrides improve, not degrade, performance.
- Segmentation and exception-based workflows so teams focus time where it matters.
What Changes:
- Improved forecast accuracy and stability at the SKU, customer, and channel level.
- Better promotion planning and fewer service failures driven by forecast error.
- Higher trust in the plan because performance is measured and continuously improved.
Inventory and Service Optimization
We help organizations balance working capital and service with modern inventory science, practical
segmentation, and deployable policies. This is not theoretical optimization. It is a set of rules.
What We Deploy:
- Segmentation strategies tied to service targets and business value.
- Probabilistic inventory policies and safety stock optimization.
- Automated deployment logic and multi-echelon approaches where appropriate.
- Attach-rate forecasting and service parts planning (when relevant).
- Risk tools to quantify variability, supply disruption, and exposure.
What Changes:
- Reduced excess and obsolete inventory without sacrificing service.
- Clear service policies by product and customer, not one-size-fits-all targets.
- A transparent, data-backed approach to trade-offs that finance and operations both support.
ERP, APS & Systems Integration
We design integration architectures that scale, build and harden the interfaces, and establish data governance so the system
performs reliably through upgrades, acquisitions, and process change.
We connect APS and planning platforms with SAP ECC and S4, Oracle, JDE, JDA, MES, and other enterprise systems to create a unified planning backbone. The objective is simple: eliminate fragile data handoffs, standardize master data, and enable near real-time visibility so planners and operators can act on the same version of the truth.
We connect APS and planning platforms with SAP ECC and S4, Oracle, JDE, JDA, MES, and other enterprise systems to create a unified planning backbone. The objective is simple: eliminate fragile data handoffs, standardize master data, and enable near real-time visibility so planners and operators can act on the same version of the truth.
Digital Twin & Scenario Planning
Whether you are reallocating constrained inventory, rerouting logistics, or redesigning a network, the digital twin provides a
structured way to quantify impacts across service, cost, inventory, and throughput, then operationalize the best decision into your
planning cadence and systems.
We build knowledge-graph digital twins that model the supply chain as it actually operates, including demand volatility, production constraints, logistics capacity, lead-time variability, sustainability and recycling trade-offs, and policy rules.
We build knowledge-graph digital twins that model the supply chain as it actually operates, including demand volatility, production constraints, logistics capacity, lead-time variability, sustainability and recycling trade-offs, and policy rules.
Long-Term Value, Not Just Go-Live.
We design, implement, support, and run your planning ecosystem end-to-end.
MANAGED SERVICES /AUGMENTED OPERATIONS
We provide ongoing operational support for planning teams that need sustained capability, specialized expertise, or
additional bandwidth, without adding permanent headcount. Our model can be fully managed, augmented, or hybrid,
depending on how you want to operate.
Services Include:
- Forecasting-as-a-Service
- Demand Planning-as-a-Service
- Inventory Optimization-as-a-Service
- AI/ML Tuning
- Governance & COE Management
ADVISORY
SERVICES
We provide senior advisory support when you need clarity, alignment, and a practical roadmap before making a major
investment. Our advisory work is grounded in implementation realities, with an emphasis on decisions, sequencing,
and measurable value.
Services Include:
- Transformation Strategy
- Operating Model Design
- Value Assurance
- Technology Selection
- Roadmap Development
- Site Readiness & COE Setup
