River Logic rolls out an ‘Intelligent Assistant’ to speed value‑chain decisions — but buyers should test the claims

This article was written by the Augury Times
River Logic launches an Intelligent Assistant to help planners act faster
River Logic announced a new product called the Intelligent Assistant in a press release on Dec. 10, 2025. The company says the tool is designed to give supply‑chain, operations and planning teams quick, actionable guidance on real business problems — for example, where to shift production, how to balance inventory and which constraints are most urgent. The headline claim is simple: turn complicated optimization models and data into plain recommendations teams can use without waiting on analysts.
What the Intelligent Assistant does, in plain terms
River Logic describes the Intelligent Assistant as a blend of optimization, automation and conversational AI. Under the hood, the product appears to combine the firm’s existing modeling and optimization engine with an interface that can answer questions, suggest actions and trigger routine workflows.
The company says the assistant uses multiple AI elements: a planning model that reasons about constraints and costs, analytics that surface trade‑offs, and a natural‑language layer that lets users ask questions in everyday words. It is built to read the company’s data — forecasts, inventory, capacity, orders — and propose prescriptive moves such as shifting production between sites, changing shipment plans, or re-prioritizing orders.
On integrations, River Logic says the assistant will connect to common enterprise data sources and planning systems so it can access live numbers rather than static spreadsheets. It also touts automation hooks: once a recommended plan is approved, the assistant can export actions back into execution systems or trigger alerts for people who need to act.
Technically, the claim is that the assistant marries optimization — which finds the best outcome under given rules — with a conversational layer that explains why one course is better than another. That mix aims to make complex trade‑offs understandable to non‑specialists.
How teams could use it day to day
The product is pitched at supply‑chain planners, operations leaders and demand‑planning teams. In a typical use case, a planner who faces a sudden supplier cut or demand spike could ask the assistant what options exist to keep customer service levels without blowing out costs. The assistant would outline alternatives, highlight key bottlenecks and show the cost or service impact of each choice.
Other practical examples River Logic highlights include scenario planning for new product launches, re‑routing work when a plant goes offline, and automating routine rebalancing of inventory across distribution centers. In short: the tool tries to shrink the time between spotting a problem and choosing a defensible, model‑backed action.
For smaller teams, the biggest value may be shaving hours off ad‑hoc analysis. For larger operations, the assistant promises to enforce consistent business rules while letting local managers see the reasons behind recommendations.
How this product fits into the enterprise AI and value‑chain market
River Logic is entering a crowded space: many vendors now offer parts of this picture — optimization engines, planning suites, workflow automation and conversational interfaces. What matters to buyers is how well the pieces work together and whether recommendations are reliable in messy, real data environments.
Compared with pure optimization vendors, River Logic is pushing a more user‑friendly front end. Compared with general AI tools, it emphasizes domain knowledge and constraints. That positioning could appeal to firms that want prescriptive answers rather than raw predictions — but it will also face competition from established planning suites and new AI startups trying to add similar assistant layers.
Company statements and what they highlight
In the announcement, River Logic’s CEO is quoted saying the Intelligent Assistant will let companies “make faster, more confident decisions across their value chains.” A head of product highlights the conversational interface and the ability to convert recommendations into automated workflows. The PR points to early pilot projects but does not include detailed customer metrics.
These quotes frame the launch as a step toward more operational decision‑making without promising instant, hands‑off automation for every customer.
Availability, pricing clues and what to watch next
The company says the Intelligent Assistant is available now for commercial trials, with general availability and pricing to be discussed with customers. River Logic plans to show live demos and roll out integrations over the coming months.
Reporters and buyers should watch for real customer case studies that include measurable results — for example, hours saved, inventory reduced or service improved — and for details on how the tool handles noisy or incomplete data. Third‑party validation and independent benchmarks will be the clearest proof that the assistant moves the needle beyond a well‑crafted demo.
Photo: Siarhei Nester / Pexels
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