Enquant
Use Cases

Complex resource allocation runs through the entire supply chain

Every day, your employees and systems make thousands of operational decisions — from checking the availability of a sales order, to scheduling a production batch, to selecting a transport provider. Complex resource allocation runs through the entire supply chain. The quality of these decisions determines your costs, service levels, resource utilization, and profitability. We believe that most businesses are sitting on untapped potential here — let us help you bring your existing network to peak performance.

01Domain

Production planning & scheduling

Production planning ranges from strategic rough-cut planning to operational detailed scheduling at the machine level. Sequential manufacturing steps with different logic, unique product characteristics, and the consideration of critical support functions like maintenance, cleaning, and quality assurance lead to complex, often highly company-specific requirements. Enquant models your specific situation with maximum flexibility and optimizes exactly according to the goals that really matter on your shop floor.

What Enquant decides

  • Allocation of volumes to plants or specific production lines
  • Dynamic scheduling of production orders, machines, and employees
  • Smart sequencing and batching for minimum setup times
  • Rule-based creation and assignment of support tasks (e.g. cleaning, maintenance, sampling)

Constraints we model

Material availabilityResource availabliltyComplex setup matricesProduct-specific constraintsMaintenance windowsSkill matricesCustomer priority

Real-time intelligence for higher throughput, better prioritization, higher utilization, and lower setup costs.

02Domain

Material flow & replenishment

Optimizing internal material flows is a massive opportunity for many companies. This is where various perspectives and goals collide: demands and availabilities across hundreds or thousands of SKUs, storage capabilities and costs, transport routes and bundling, as well as prioritization during bottlenecks of any kind. Often, a centralized, data-driven process to balance these variables is missing. Enquant considers all relevant perspectives, orchestrates replenishment, and adjusts the plan in real-time in the event of deviations.

What Enquant decides

  • Creation of optimal stock transfer orders (STOs)
  • Timing, volume and routing of goods movements
  • Optional: Visibility into already planned transports to utilize unused truck capacity

Constraints we model

Demand forecastSafety stock targetsStorage capacityTransport & handling costTransport & handling capcitiesSubstitutabilityMOQ and pack sizes

Stock availability at the right place, highly efficient transports, and anti-cyclical balancing of demand fluctuations.

03Domain

Order management & fulfillment

Committing to customer orders and delivery dates, assigning delivery plants, and reserving the necessary resources - a highly significant but often underestimated daily process. Customer satisfaction, output, and profitability depend heavily on strong order management. A healthy order profile is a key enabler for efficient logistics. However, bottlenecks, shortages, and alternative delivery plants and routes make the decision highly complex. We model your individual situation and extract the maximum for you every day through intelligent allocation.

What Enquant decides

  • Order acceptance and scheduling against limited capacity
  • Optimal selection of delivery date and delivery plant/route
  • Order bundling and splitting to keep trucks full and routes short
  • Intelligent allocation of shortages

Constraints we model

Customer priorityFair distributionMaterial availabilityLogistics capacitiesLogistics costService level agreementsLine item profitability

Maximum throughput and higher customer satisfaction at lower logistics costs - all driven by a simple decision at the start of the chain.

04Domain

Warehousing

In warehousing, there is a multitude of dynamic optimization problems, from route optimization and intelligent slot assignment to the planning of complex picking waves. Traditional WMS systems form the solid backbone of execution but often reach their limits with complex, multi-dimensional optimization problems. This is exactly where Enquant plugs in as an intelligent layer to solve your specific and most demanding challenges in the warehouse fulfillment process.

What Enquant decides

  • Dynamic slot assignment for putaway and re-slotting
  • Planning and orchestration of picking waves
  • Optimization of picking routes
  • WTask interleaving (combination of putaway and retrieval orders)

Constraints we model

Storage zones and capacitiesBin sizesPick path geometryEquipment availabilityLabor skills and shiftsHazmat and segregation rulesShipping cut-off windows

Pick rates, dock-to-stock time, labor cost per order, and space utilization — the operational levers that make a warehouse profitable or painful.

05Domain

Transportation & routing

Transportation planning is one of the most thoroughly researched optimization problems. In reality, TMS systems still frequently fail to deliver truly hands-off planning due to soft constraints, complex contractual structures, secondary goals, and the constant flood of changes, cancellations, breakdowns, etc. We model your situation exactly to your specifications, deliver provably more efficient results, and bring the necessary automation so your plan keeps pace with reality.

What Enquant decides

  • Bundling of deliveries into transports
  • Complex routing, multi-drop, multi-pickup, multi-segment, multi-modal, cross-docking, etc.
  • Selection of mode, carrier and means of transport
  • Assignment to specific resources and time windows

Constraints we model

Complex contractsTariff structuresTime windowsCapacitiesRoad restrictionsCustom rulesVolume commitments

Significant and provable reduction in transport costs, systemic planning without manual rework.

06Domain

Workforce scheduling

Personnel and shift planning is part optimization, part fairness, and part politics. Minimum staffing levels, skill matching, and rotation rules meet the reality that employees have a life outside of work. Enquant creates customized shift plans or dynamically assigns tasks — and precisely respects those soft rules and preferences that truly matter to your planners.

What Enquant decides

  • Creation of shift and duty rosters
  • Dynamic assignment of tasks to employees

Constraints we model

Skill matchingFair rotationShift premiumsIndividual availabilityCost ratesRest periods and breaksWorker preferences

Coverage gaps, overtime cost, and planner time spent re-doing rosters when reality changes.

Other domains

Don't see your decision problem?

The object and decision model is general — what we've shown above are the six domains we cover most often, not a hard list. If you have a different operational decision problem with measurable impact, talk to us.

Tell us about your problem

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We'll model your domain in the POC and show you optimal decisions on your own planning horizon — for free.

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