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With SmartOpt Solutions Journey to Success

Discover the contributions of SmartOpt's artificial intelligence-supported solutions to
the supply chain processes of the companies we cooperate with.

BSH achieves end-to-end visibility and management of all material and process flows with SmartOpt

B/S/H/ Household appliances is a global enterprise with 38 production facilities around the globe and with $15.6 billion per year (in 2022). B/S/H/’s Turkiye campus in Çerkezköy is the most complex including 2 refrigerator plants and washing machine, dishwashing machine, drying machine and cooking owen plants. The material flows from the production centers of the suppliers until the delivery of the finished products to end customers. The flow of parts/components demanded by these plants, the flow of material within the campus and the flow of the finished products until delivery/installation at the customer are monitored and managed in real-time. A variety of data is received from different stakeholders such as suppliers, port operators, customs brokers, freight forwarders, warehouses, container yard operators, ERP, multimedia systems and processed in real-time. B/S/H/ achieves real-time end-to-end visibility of all material flows (inbound and outbound) and also effectively manages all of the processes with SmartOpt’s customized solution.

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Şişecam uses ForecastOpt to manage its energy decisions

Şişecam stands as a preeminent global glass manufacturer, havng a paramount position not only as the largest glass manufacturer in Turkey but also within international markets. The scope of their business extends across more than 150 countries, facilitated by their extensive production operations dispersed across 14 nations. As a manufacturer of glass products, Şişecam's operations are strongly tied to energy expenditures, particularly the anticipation of electricity prices spanning hours, days, weeks, and months ahead. These forecasts have a pivotal role, given the intricate and multifaceted nature of the glass manufacturing process. In acknowledging the complexity associated with predicting electricity prices, Şişecam has aligned with SmartOpt, an expert in the realms of machine learning (ML) and artificial intelligence (AI). Through the fusion of these advanced technologies, SmartOpt has empowered Şişecam with a distinctive capability: the provision of electricity price forecasts for Turkey and other nations, underscored by an error margin as limited as 10%. This represents a profound accomplishment, given the challenges inherent in predicting the oscillations of this critical economic factor. For Şişecam, these forecasts extend far beyond mere numerical prediction; they furnish Şişecam with a formidable advantage in strategic planning. Armed with this foresight, they orchestrate their manufacturing endeavors with a precision unparalleled before. Manufacturing schedules are meticulously aligned days in advance and as a result, exponential augmentation of efficiency and profitability is achieved. The partnership between Şişecam and SmartOpt embodies the epitome of technological collaboration and strategic sagacity for all enterprises.

Warmhaus uses ForecastOpt to forecast steel prices

Warmhaus, steel panel radiator, and boiler sector stands tall among the top 10 global producers and is in Turkey's top 4. Operating across more than 35 countries with internationally certified products, Warmhaus sought to beat the challenge of optimizing sales forecasting for its diverse portfolio of over 30 products. SmartOpt, renowned for its data-driven optimization approach, joined forces with Warmhaus to spearhead an innovative solution to sales forecasting. SmartOpt harnessed historical data and developed advanced machine learning methods to provide Warmhaus with accurate sales forecasts. SmartOpt solution enabled proactive inventory management and production planning, reducing overages and shortages. In a world where precision, efficiency, and global leadership converge, Warmhaus and SmartOpt exemplify the profound impact of visionary solutions, steering businesses toward a future defined by unmatched achievement.

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Turkish Airlines trains its personel on digitalization (ML/AI/Optimization) with SmartOpt expertise

Turkish Airlines cooperates with SmartOpt to address the strategic challenges, opportunities, and the importance of AI, ML, and Optimization technology in the avi ation industry. A webinar series was delivered by SmartOpt founder Prof. Dr. Metin Türkay on ‘Data Science Fundamentals & Statistical Analysis and Modeling, Demand and Price Forecasting, Logistics Operations Optimization and Supply Chain Planning & Operational Planning’ for Turkish Airlines top management and the employees. Turkish Airlines attended these webinar series from all of its branches and subsidiaries from all over the world. We provided these series in Turkish and English separately. In addition to providing insight into SmartOpt technologies and solutions, we also discussed the challenges and opportunities of data science, machine learning (ML), artificial intelligence (AI), and optimization for Turkish Airlines.

Arçelik optimizes inbound logistics operations using MilkRunOpt

Integration of suppliers and Arçelik’s Ankara Dishwasher plant yielded %15-%20 savings in inbound logistics operations. The system allows for scheduling pick-ups from the suppliers routing of the vehicles in the Milkrun operations, management of raw material inventory profiles while ensuring the availability of raw materials for production plans. The project produced very successful outputs and in 2019, it was awarded the second prize in the category of Collaboration Developers in Koç Holding’s Most Successful Koç Employees competition.

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Tüpraş optimizes inbound logistics operations using MilkRunOpt

Tüpraş's purchasing and sales operations are highly sensitive to spot market prices of crude oil and its derivatives. Our fully automated solution provides spot market price forecasts for crude oil (Brent), naphtha, jet fuel, diesel, fuel oil. The customized implementation also allows for incorporation material experts' bias towards future prices. The system is being used by purchasing and sales departments since August 2018.

TOFAŞ manages its energy center with our custom solution including ForecastOpt and PlanOpt

TOFAŞ, a prominent automotive manufacturer, holds a commanding position not only in Turkey but also within the global market. With an annual production capacity exceeding 450,000 vehicles, the company stands as one of the largest players in Turkey's automotive sector. Energy efficiency in production processes lies at the heart of TOFAŞ's sustainability goals. In this context, energy optimization in production facilities is of critical importance. To achieve this objective, TOFAŞ has partnered with SmartOpt to implement an innovative project focused on optimizing facility heating systems.

The cornerstone of this collaboration centers on optimizing the boiler and burner systems that meet the hot water requirements of production facilities. Utilizing SmartOpt's advanced artificial intelligence and machine learning technologies, the facility's hot water demand is precisely predicted, and boiler operations are regulated according to these forecasts. This intelligent system ensures the continuity of production processes while achieving energy savings of up to 15%.

One of the most striking aspects of the project is its ability to provide uninterrupted and efficient heating management even in complex production processes. SmartOpt's artificial intelligence model analyzes historical data, production plans, and environmental factors to determine optimal boiler operating parameters. As a result, TOFAŞ has succeeded in significantly reducing energy costs while decreasing its carbon footprint.

The collaboration between TOFAŞ and SmartOpt exemplifies the transformative power of advanced technologies in achieving sustainability goals. By harnessing the capabilities of artificial intelligence and machine learning, TOFAŞ has not only optimized its energy consumption but also bolstered its competitive edge in the automotive sector.

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