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Every extra kilometre driven, cubic centimetre left empty, or kilowatt bought at the wrong time chips away at profit. SmartOpt tackles these leaks with optimisation software that fits smoothly into daily operations—no grand “digital-transformation” speeches, just tools that work. Below is a deeper look at the five most co mmon wins and how they add up.
Most fleets still run on fixed routes drawn up the night before. When traffic clogs, orders change, or a truck breaks down, the plan stays frozen and trucks roll half-full. RouteOpt rebuilds those routes on the fly with a logistics digital twin that mirrors real-time orders, vehicle positions, and road conditions. Companies that shift from static plans to this live model cut distance, raise capacity utilisation, and lower fuel per delivery, while also trimming CO₂ emissions .
What users notice first is the day-one saving on diesel; what sticks is the calmer operation—fewer last-minute driver calls, less overtime, and happier customers thanks to on-time arrival slots.
Packing is a hidden cost twice over: wasted packaging and wasted cargo space. PackOpt solves the NP-hard 3-D bin-packing puzzle in seconds, finding the tightest fit for every order mix . The engine respects carrier rules, weight limits, and fragility constraints, then shows warehouse staff a 3-D visual of exactly how to load—no guesswork .
Because PackOpt plugs into RouteOpt’s digital twin, it packs to the actual vehicle sizes and routes for that shift, not a generic template . The pay-off: fewer cartons, fuller trailers, lower freight bills, and a smaller carbon footprint.
Spreadsheet scheduling ties up skilled planners and still leaves blind spots. PlanOpt evaluates millions of sequences in minutes, balancing throughput, changeovers, maintenance windows, and labour limits.
Beyond speed, the model juggles conflicting goals—maximising machine use while minimising changeovers—and lets planners test what-if scenarios when a machine fails or a rush order appears . The result is steadier throughput, lower overtime, and faster responses to surprises.
Power prices swing hourly. ForecastOpt predicts those swings 24–48 hours ahead and reschedules flexible loads—such as chillers, compressors, or non-critical production steps—into cheaper hours. Industrial sites that adopt this “price-driven scheduling” have cut electricity spend by up to 20 percent without hurting output .
Because the same engine watches spot markets in real time, it keeps learning and adapting as volatility grows, aligning cost savings with grid-friendly demand shifting .
Boilers, burners, and steam lines rarely run at their sweet spot. SmartOpt builds a digital twin of each utility, forecasts demand, and adjusts set-points with reinforcement-learning control. At Tofaş, this approach delivered about 15 percent facility-wide energy savings while keeping process heat stable . Similar projects now target paint-shop burners and steam boilers in other plants, pairing cost cuts with lower emissions .
SmartOpt offers these capabilities as focused modules—RouteOpt, PackOpt, PlanOpt, ForecastOpt, and more—so you can start where the pain is biggest and add others as savings compound.
Less distance, less waste, less waiting—more profit.