By Sigmoidal LLC
Client
Novartis International AG
Sales forecasting adds value across an organization. Finance, for example, relies on forecasts to develop budgets for capacity plans and hiring. Production uses sales forecasts to plan their cycles. Forecasts help sales ops with territory and quota planning, supply chain with material purchases and production capacity, and sales strategy with channel and partner strategies.Our client, a giant from the pharmaceutical industry, challenged us to create a forecasting and analysis system, to accurately predict their sales and financial performance over dozens of countries they operate in. ✔️ Sigmoidals’ team engineered a new code structure, allowing to shorten model training time by 20%✔️ Our object-oriented programming refined the organization of the software design around data.✔️ We utilized among other Arima, Prophet, and ETS family for Forecasting Time Series forecasting to create a robust system Sigmoidal solution aided our client to closely monitor and react upon market shifts across many countries, which resulted in higher revenue and improved supply chains with material purchases.
Sales forecasting adds value across an organization. Finance, for example, relies on forecasts to develop budgets for capacity plans and hiring. Production uses sales forecasts to plan their cycles. Forecasts help sales ops with territory and quota planning, supply chain with material purchases and production capacity, and sales strategy with channel and partner strategies.Our client, a giant from the pharmaceutical industry, challenged us to create a forecasting and analysis system, to accurately predict their sales and financial performance over dozens of countries they operate in. ✔️ Sigmoidals’ team engineered a new code structure, allowing to shorten model training time by 20%✔️ Our object-oriented programming refined the organization of the software design around data.✔️ We utilized among other Arima, Prophet, and ETS family for Forecasting Time Series forecasting to create a robust system Sigmoidal solution aided our client to closely monitor and react upon market shifts across many countries, which resulted in higher revenue and improved supply chains with material purchases.
Many potential borrowers look good on paper and are classified as creditworthy, but are in fact risky. This is because traditional methods can give credit to consumers who, e.g., have a large number of reward credit cards but sign for them to get bonuses (the so-called “card churners”), and are not, in fact, profitable for the issuer.✔️ The credit scoring process has been sped up by more than 45% with fewer cases going to manual verification.✔️ The system allowed our client to detect high-risk borrowers more effectively, reducing the default rate by almost 15%. ✔️ After each iteration, the client got a detailed performance report, so that he could regularly track insights and statistics.The accuracy improvement in risk mitigation helped better assess risky borrowers, who look good at first sight, effectively increasing clients’ revenue.
Sigmoidal automated Document Management System for the Cordoba municipality (Spain). Sigmoidal ML Engineers optimized the business processes for its staff and the citizens. Sigmoidal implemented the solution in three areas of document management: Classification and processing, Data extraction, Advanced Security. Assets delivered by Sigmoidal: ✔️ Security enhancement – automatically detecting and protecting sensitive information. Prevention from unauthorized access ✔️ Document processing up to 3x faster for selected cases. ✔️ The system allows to track errors more efficiently, preventing costly errors made by the staff.Sigmoidal’s solution freed up the time of office workers and increased citizens’ satisfaction, in addition greatly reducing the labor costs. 💻 Full Case Study: https://sigmoidal.io/case-studies/ai-document-management/
SDI wanted to create a platform that would allow him to compare and choose suppliers, maintain them, then continuously assess and manage risk in a more informed manner. Sigmoidal enabled SDI halve the time spent on research and supplier selection. Engineers provided by Sigmoidal had leveraged a hybrid approach to reduce risk - the most complicated cases were automatically flagged for manual verification. Assets delivered by Sigmoidal: ✔️ Research and risk assessment was cut down from 5 hours to 3 hours a day. ✔️ Flexible system, choosing the most important factors of potential supplier (e.g. tariff and taxes, Geographic location, product price) for each specific scenario. ✔️ Platform, enabling client to compare much higher number of suppliers - helpful, non-obvious patterns can be found. The solution allows our client to predict outcomes based on historical data, enabling him to make better-informed decisions. 💻 Full Case Study: https://sigmoidal.io/case-studies/machine-learning-supplier-selection/