jahan.ai
AI Twin for Retail and Supply Chains

The global AI race is in full swing. Retail, a sector driven by consumer demand and complex supply chains, is particularly poised to benefit from AI's precision and predictive power. Leading software developer jahan.ai is at the forefront of this race with its eponymous AI-powered solution, which provides enterprise-level accuracy, dynamic learning ability and user customizability.

Founded by Sam Riethmuller, former head of data science for a major national retailer, jahan.ai combines a deep understanding of ML principles with a laser focus on the retail, CPG and manufacturing verticals. Using advanced ML techniques, it presents clients with accurate and dynamic forecasts that can tackle challenges, cut costs and drive substantial revenue.

“We have created an AI twin capable of simultaneously learning from a wide range of variables, including pricing, promotions, replenishment and operational processes to simulate and significantly optimise the client's end-to-end core value chain,” says Sam Riethmuller, chairman of jahan.ai.

COMPREHENSIVE TOOLS FOR OPTIMIZED BUSINESS DECISIONS

jahan.ai's demand forecasting tool, jahanForecast, is designed to be the centerpiece of users' decision-making processes. Its accurate forecasting has paved the way for more tools with capabilities like product assortment, price and promotion optimization.

These tools work in tandem with the demand forecasting model, ensuring informed decisions in areas ranging from assortment planning and product pricing to store placement, supply chain and production planning.

Additionally, the company’s products are all connected, acting as an AI twin, allowing clients to run comprehensive simulations to understand the potential impact of decisions across the entire value chain. For example, a retailer considering changes to its delivery schedule can use jahan.ai’s tools to simulate the effects on distribution costs, store labor, product availability and even supplier relationships. The AI twin processes data dynamically, providing insights that help anticipate challenges, forecast outcomes and recommend actionable improvements. By combining simulation with machine learning, jahan.ai empowers organizations to drive efficiency, enhance decision-making, and stay ahead in an ever-evolving market landscape.

TAILORED SOLUTIONS FOR OPTIMAL RETURNS

jahan.ai’s laser focus on the retail, CPG and manufacturing sectors has given it a keen insight into the importance of customizability in business solutions, particularly within diverse retail environments.

This has led the company to develop products that allow for high configurability. The tool can be customized based on specific business constraints and rules, ensuring only relevant features and configurations are presented. During the implementation phase, the platform can be tailored to each client's needs, making the solution adaptable to different business models. Whether a retailer follows an everyday low-pricing strategy or a high-low promotions model, jahan.ai’s solutions can be adjusted to fit their specific needs to ensure optimal returns.

But creating something this sophisticated takes work. The sheer scale at which ML models operate requires large amounts of processing power, which translates into high maintenance costs. jahan.ai has worked around this challenge by using the Julia programming language, a highly performant tool that allows processing large datasets at lower costs. jahan.ai actively shares its expertise with clients, providing advisory services that extend beyond the SaaS offerings and support change management, training and even internal development of machine learning solutions.

Through customer-centric, scalable and cost-effective forecasting solutions, jahan.ai transforms the complexities of retail, CPG and manufacturing into avenues for growth. Companies partnering with jahan.ai can anticipate trends and optimize their operations, turning market uncertainties into strategic advantages.