Enquant
Solutions

Complex resource allocation runs through the entire supply chain

Every day, your team makes thousands of operational choices, from checking order availability to scheduling batches and selecting transport providers. This complex resource allocation affects your costs, service levels, asset utilization, and profitability. Most businesses have untapped potential here — we help you bring your existing network to peak performance.

01Domain

Production planning & scheduling

Maximize shop-floor throughput while minimizing setup losses and changeover downtime.

What Enquant decides

  • Plant & line allocation. How to allocate production volumes across sites, lines, and shifts given capacity, setup costs, and facility capabilities.
  • Batch sizing & grouping. How to group customer orders into optimal production runs to balance changeover losses against inventory holding costs.
  • Detailed job sequencing. How to sequence SKUs to minimize setup/cleaning times, tool changes, and sequence-dependent constraints.
  • Auxiliary activity scheduling. How to seamlessly integrate maintenance, sanitation (CIP), quality sampling, and tool changeovers into the run schedule.
  • Labor & skill assignment. Which qualified operators or specialized technical teams to assign to specific machines, runs, and changeovers.

Use case: scheduling filling lines

Schedule incoming production orders, and plan adjacent activities (maintenance, cleaning, sampling).

Which machine?Whom to assign?What sequence?
Read the use case
02Domain

Material flow & replenishment

Orchestrate seamless inventory movements and replenishment across every network node.

What Enquant decides

  • Multi-echelon replenishment. When and how much inventory movements to trigger between production plants, central hubs, and regional distribution centers.
  • Stock transfer & network rebalancing. How to dynamically move surplus stock or returnable assets (pallets, cages, containers) across nodes to prevent localized stockouts.
  • Inbound call-off & logistics. How to time raw material and packaging deliveries against plant consumption rates and storage limits.
  • Reverse logistics orchestration. When to retrieve customer-returned assets, which transit routes to use, and where to route items for cleaning, repair, or reuse.
  • Bottleneck & deficit allocation. How to dynamically rebalance material movements across the network during supply disruptions or storage shortages.

Use case: reverse logistics

Get customers' returned goods (e.g. pallets) back into the network efficiently for reuse.

When to collect?How to route?Where to store?
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03Domain

Order management & fulfillment

Dynamically match customer orders to the most profitable sourcing location and delivery window.

What Enquant decides

  • Sourcing node selection. Which plant, warehouse, or regional hub should fulfill each customer order to optimize total network margin and service levels.
  • Capable-to-promise (CTP). What order confirmation dates and delivery windows to commit to based on live network stock, inbound supply, and capacity.
  • Shortage & bottleneck allocation. How to prioritize and allocate limited inventory across customer tiers, channels, and regions during supply deficits.
  • Order bundling & rightsizing. How to group or split orders into full truckloads (FTL) vs. LTL to balance freight efficiency against delivery lead times.
  • Fulfillment escalation. Which critical or high-penalty orders to expedite or reroute when unexpected fulfillment bottlenecks occur.

Use case: allocating sales orders

Plan and confirm customer deliveries after orders have been placed.

Where to deliver from?When?If shortage, how to allocate?
Read the use case
04Domain

Transportation & routing

Cut transportation spend across dedicated fleets, contracted carriers, and spot markets.

What Enquant decides

  • Fleet & carrier mix. How to divide transport volumes between dedicated internal fleets, long-term contracted carriers, and spot-market contractors.
  • Shipment consolidation & trip building. How to combine multi-stop deliveries into optimal truckloads balancing weight, cube, and tight customer time windows.
  • Route & stop sequencing. What exact stop sequence and routing paths to execute, accounting for driver shift limits, traffic, site access, and unloading gear.
  • Spot market bidding & backhaul pricing. Which spot loads to bid on, what margin-optimized price to quote, and how to backfill empty return miles.
  • Dynamic dispatch adjustments. How to dynamically reassign drivers, vehicles, or stop orders in real time when unexpected delays or breakdowns happen.

Use case: planning optimal trips (last-mile delivery)

Fulfill a large number of customer deliveries using a fleet of dedicated trucks.

Which deliveries in a trip?What truck and crew to assign?How to sequence the stops?
Read the use case

Use case: bidding for spot loads

Bid for transport loads placed by shippers on the spot-market, to be served by a mixed fleet.

Which loads to bid for?What price to quote?Which truck to assign?
Read the use case
05Domain

Warehousing

Eliminate travel time and staging bottlenecks across manual and automated warehouse operations.

What Enquant decides

  • Dynamic slotting & location optimization. Where to position high-velocity vs. low-velocity SKUs to minimize travel distance, congestion, and replenishment frequency.
  • Picking wave & batch strategy. How to group customer orders into optimal picking waves and batch routes for manual pickers or automated handling systems.
  • Cross-docking vs. putaway. Which inbound shipments to cross-dock directly to outbound staging vs. store, and where to store putaway stock.
  • Workload & zone balancing. How to dynamically balance workers, forklifts, and staging areas across warehouse zones during demand surges.
  • Container & pallet rightsizing. How to sequence and pack items onto pallets or cartons to maximize spatial density and cargo stability.

Use case: to be developed with you

We build custom models for complex warehouse optimization problems upon request.

Book a scoping call
06Domain

Workforce scheduling

Build cost-optimal shift rosters and real-time task assignments that respect labor rules.

What Enquant decides

  • Shift rostering & pattern planning. How to generate multi-week shift schedules that meet operational demand, labor regulations, and cost targets.
  • Skill matrix & certification matching. Which personnel to assign to specific lines, specialized machinery, or transport vehicles based on qualifications and experience.
  • Dynamic task allocation. How to assign real-time operational tasks (picking, loading, line sanitation, maintenance) to workers throughout an active shift.
  • Overtime & flex-labor optimization. When to schedule overtime or flex labor versus adjusting operational velocity to minimize total labor spend.
  • Fairness & preference balancing. How to balance employee shift preferences, break windows, and rotation rules without compromising operational output.

Use case: to be developed with you

We build custom models for complex workforce optimization problems upon request.

Book a scoping call
Other domains

Don't see your problem?

The object and decision models in our solution are general — what we've shown above are the six domains where we have most frequently encountered optimization opportunities, not a hard list. If you have a different operational decision problem with measurable impact, talk to us.

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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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