Predict exactly what and when your customers will buy. Train a custom, token-free AI model on your data to reduce stock-binding and reclaim lost revenue through automated order forecasting.
See how our specialized transformer outperforms standard models such as ChatGPT or Gemini in transactional data in a direct comparison. Click on a company in the simulation: We draw a random customer data set and let the models predict the next shopping cart.
Excerpt from the simulation with 169 cross-industry companies. Trained on 368,649 shopping baskets.
Model Benchmark
The Right Engine for Your Data.
Below, we compare the most common forecasting architectures against the unique challenges of B2B commerce. To help you find the best fit for your data, we analyzed each approach across five key dimensions: Sparse Data Efficiency measures how well a model handles irregular order histories with significant gaps. High-SKU Handling evaluates the ability to scale across millions of unique parts without losing precision. New Product Adaptability identifies the capacity to forecast demand for items with zero sales history (the "Cold Start" problem). Privacy & Anonymity considers whether your data stays local and anonymized or is processed in external clouds. Finally, Metadata-Free determines if the engine can learn purely from transaction logs without requiring manually maintained product descriptions.
We uses a geometric transformer to predict orders as mathematical patterns, thriving on the irregular, sparse data typical of B2B markets. It delivers high-precision forecasts using only raw ERP IDs, ensuring maximum privacy without the need for product metadata.
LLMs, optimized for text, excels at multimodal reasoning but struggles with pure, sparse transactional histories that lack linguistic context. It faces high latency and a heavy dependency on structured metadata that is rarely maintained in standard ERP systems.
Traditional statistical methods are effective for high-volume, regular commodities but fail in B2B environments with sporadic demand. They are incapable of predicting orders for new items and require dense, continuous data histories to remain accurate.
Standard for B2C, this logic fails in B2B due to highly unique customer behaviors and low purchase overlaps. It struggles to find similar "neighbors" in specialized industrial markets, causing the notorious "cold-start" problem for new products.
Added Value
One Model. Three Profit Levers.
Data is only valuable when it triggers decisions. Swiftron bridges the gap between your history and your future success. By analyzing the value chain, we simultaneously optimize three critical areas: we minimize your tied-up capital in inventory through precise quantity planning, secure your competitive edge in sales with proactive reactivation triggers, and boost your e-commerce margins through demand-based, real-time recommendations.
Technology
No Token. Cross-Industry. Private.
While conventional AI breaks language down into tokens, our model works directly with numerical rotation vectors. This means: we don’t just understand that a product is being purchased; we analyze its mathematical behavioral pattern. Through our unique foundation model, your AI learns anonymously from the patterns of hundreds of industries simultaneously, while your specific fine-tuning maintains the focus on your individual customers. GDPR-compliant through local anonymization prior to training. Processed in Europe.
Batch #1: The Strategic Design Partnership
Turning Historical Transactions into Sovereign Predictive AI.
Starting May 2026, we are launching a 6-month Design Partnership with four selected companies from non-competing industries. This initiative transforms your historical ERP or CRM data into a sovereign predictive asset using our token-free architecture—no internal AI department required.
Every partnership begins with a Data Readiness Check to validate your data’s potential before integration. By participating, you secure a bespoke AI instance tailored to your specific customer patterns, driving measurable gains in working capital optimization and sales efficiency while maintaining full independence from external black-box platforms.
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Secure Your Strategic Lead: Join Batch #1
Transform your transaction history into a proprietary AI asset. Applying for our Design Partnership is a non-binding inquiry to evaluate your data's potential within our token-free architecture. The next step is a technical deep-dive and a bespoke showcase of your optimization opportunities.
Swiftron Unlock Your Full Potential with AI.
