Better schedules, routes and prices, worked out for your business.
Solves the vehicle routing problem across your fleet with time windows, capacities, driver shifts, and live traffic to produce least-cost daily routes. Re-optimizes mid-day for new orders, cancellations, and delays, dispatching turn-by-turn sequences to drivers.
Builds staff rosters that meet forecasted demand while honoring the working-time rules you configure, contracts, skills, availability, and fairness rules. Minimizes overtime and understaffing and republishes when someone calls out.
Decides which items to mark down, by how much, and when to clear aging or seasonal stock before it loses value. Balances sell-through against recovered margin and coordinates markdowns across stores and channels.
Computes how to pack orders, pallets, and cartons into containers or trucks to maximize fill and respect weight, stacking, and fragility rules. Produces a 3D load plan and loading sequence for the warehouse.
Balances sales territories by potential, workload, and travel while assigning fair, achievable quotas aligned to company targets. Rebalances as reps join, leave, or accounts move, keeping coverage equitable.
Learns a building's thermal behavior and controls HVAC setpoints and schedules to minimize energy cost while holding comfort bands. Uses weather forecasts, occupancy, and time-of-use tariffs to pre-cool/pre-heat optimally.
Optimizes table assignments, turn times, and reservation acceptance to maximize covers and revenue across service periods. Decides which reservations to accept, how to seat walk-ins, and when to hold or release tables.
Forecasts demand by date, room type, and segment, then sets rates and length-of-stay controls to maximize RevPAR. Continuously re-prices as pickup, competitor rates, and events change, syncing to your PMS/channel manager.
Predicts the incremental lift and cannibalization of each promotion and selects the promo calendar that maximizes profit within budget and trade-spend limits. Avoids overlapping promos that steal from each other.
Forecasts inflows and outflows and recommends the timing of payments, collections, and short-term financing to avoid shortfalls at minimum cost. Optimizes payables/receivables and buffer levels against a liquidity policy.
Projects future workload and recommends how many people, with which skills, to hire, cross-train, or contract over the planning horizon. Optimizes the staffing plan against service targets and cost.
Assigns SKUs to storage locations to minimize picker travel based on velocity, affinity, and ergonomics. Recomputes slotting as demand shifts and produces re-slotting move lists for the team.
Sequences jobs across machines to minimize makespan and late orders while respecting setups, capacities, and material availability. Reschedules on breakdowns and rush orders and pushes the plan to the shop floor.
Analyzes trip demand and costs to recommend the optimal number and type of vehicles to own, lease, or retire. Balances capital, maintenance, and utilization against service levels over the planning horizon.
Predicts churn and price sensitivity per customer and selects the minimum retention incentive that keeps profitable customers. Targets only those whose behavior the offer will actually change, within budget.
Optimizes inbound/outbound dock door assignments and carrier appointment times to smooth flow and cut detention. Balances yard capacity, labor, and trailer priorities across the day.
Models willingness-to-pay across segments to design plan tiers, prices, and feature bundles that maximize long-term revenue. Simulates migrations and churn before you change packaging.
Builds course timetables assigning rooms, teachers, and time blocks with no clashes while honoring capacity, equipment, and preference constraints. Minimizes gaps and re-solves when courses or staff change.
Analyzes item profitability and popularity to reprice, reposition, or cut menu items and design combos that lift check averages. Uses ingredient costs and demand to set profit-optimal prices.
Assigns clients to the best-fit staff member based on skills, preferences, history, and workload balance. Optimizes overall satisfaction and utilization rather than first-available assignment.
Takes supplier bids with volume discounts, capacities, and quality/lead-time constraints and computes the lowest-cost sourcing split. Handles multi-item, multi-supplier awards with business rules.
Schedules EV or equipment charging and battery discharge against time-of-use tariffs, demand charges, and operational needs. Minimizes energy cost while ensuring assets are ready when required.
Mines purchase patterns to design product bundles and cross-sell offers that maximize incremental margin. Chooses bundle contents and pricing that lift attach rate without cannibalizing standalone sales.
Decides which products to stock at each store based on local demand, space, and assortment rules. Tailors range by location to lift sales per square foot while controlling SKU proliferation.
Builds low-cost duty pairings and rosters for mobile crews across multi-day trips honoring the rest, qualification and base rules you configure. Re-solves for disruptions to keep operations within your configured rules and covered.
Sets dynamic parking or space rates by time, demand, and event to maximize revenue and utilization. Predicts occupancy and adjusts pricing and allocation to avoid both empty bays and overflow.
Schedules preventive and predictive maintenance to minimize downtime and cost given failure risk, crew, and parts. Balances doing work early against running to failure using condition data.
Recommends optimal timing for harvest, planting, or production actions to maximize yield and value given weather, prices, and capacity. Balances quality windows against logistics and market conditions.
Distributes a fixed labor budget across stores and dayparts to maximize service and sales given each location's demand pattern. Sets hour targets per site and reallocates as demand shifts.
Chooses the cheapest mode and carrier per shipment that still meets the delivery deadline, consolidating loads where possible. Optimizes across LTL, FTL, parcel, and intermodal with live rates.
Selects personalized renewal offers (perks and retention discounts off one published price) that maximize retained lifetime value per member. Balances price increases against churn risk using each member's usage and tenure.
Matches and pools compatible trips or jobs to share vehicles and reduce cost while keeping detours acceptable. Continuously batches live requests into shared assignments.
Allocates trade-promotion budget across accounts, brands, and periods to maximize retailer sell-through and manufacturer profit. Optimizes the plan against measured historical ROI and constraints.
Decides how many sections of each course to open and their sizes to meet enrollment demand within faculty and room limits. Minimizes unmet demand and cost while balancing class sizes.
Decides for each returned item whether to restock, refurbish, liquidate, or scrap, and routes it to the lowest-cost, highest-recovery destination. Optimizes reverse flows across facilities.
Allocates limited ad slots and sponsorships across advertisers to maximize revenue while honoring commitments and frequency caps. Prices and schedules placements against forecasted supply.
Manages ordering and distribution of short-shelf-life stock across sites to minimize expiry and shortage. Forecasts usage and optimizes transfers so units are where they're needed before they expire.
Quotes jobs at prices that win the work and hit margin targets using predicted win-probability and cost. Learns from won/lost quotes to set the profit-optimal price for each opportunity.
Recommends where to open, relocate, or close locations to maximize coverage and revenue while minimizing cannibalization and cost. Optimizes the network against demand geography and constraints.
Forecasts contact volume by interval and computes staffing that meets service-level targets at minimum cost, then routes contacts to the best-skilled agent. Combines Erlang staffing with skills-based routing.
Sets dynamic rental rates and manages availability across locations to maximize revenue per available unit. Balances utilization, length-of-rental mix, and repositioning against demand.
Plans collection routes accounting for bin fill levels, vehicle capacity, and disposal-site constraints to cut miles and missed pickups. Uses fill sensors or predictions to skip empty stops.
Allocates shared stock across sales channels and fulfillment nodes to maximize margin and service under demand uncertainty. Decides which node ships which order to cut split shipments and stockouts.
Designs sales commission structures that drive target behaviors while capping cost and avoiding perverse incentives. Simulates rep responses to plan changes before rollout.
Detects demand spikes in real time and sets surge multipliers that balance supply, revenue, and customer acceptance, within a hard cap you set and automatically suspended during declared emergencies. Learns acceptance thresholds by segment to avoid over-surging.
Sets timed markdowns on dated perishables to maximize recovered revenue before expiry across each store. Predicts sell-through at each discount and schedules reductions per item and shelf life.
Computes cutting and nesting plans for sheet, roll, or bar stock to minimize waste for a set of orders. Optimizes layouts respecting grain, kerf, and machine constraints and outputs job sheets.
Proposes project staffing plans for your managers to approve, matching declared skills and calendar availability to deadlines to protect billable capacity and project margin. Re-proposes plans as scope and timelines shift; people are never scored on performance.