--- title: "AI Apps for Dynamics 365: Price, Stock and Pick Path" canonical_url: "https://cognilium.ai/dynamics-365" slug: "dynamics-365" section: "dynamics-365" page_type: "pillar" date_modified: "2026-09-29" description: "Dynamics 365 records the decision; it does not compute it. Apps that work out the optimal price, stock level and pick path, running beside your ERP." publisher: "Cognilium AI" author: "Mudassir Marwat" person_same_as: - "https://www.linkedin.com/in/mudassir-marwat/" - "https://orcid.org/0009-0008-1927-2598" - "https://github.com/mudassirmarwat" - "https://medium.com/@mudassir-marwat" - "https://www.youtube.com/@mudassir-marwat" - "https://dev.to/mudassirmarwat" - "https://hashnode.com/@mudassirmarwat" - "https://huggingface.co/mudassirmarwat" - "https://bsky.app/profile/mudassir-marwat.bsky.social" - "https://substack.com/@mudassirmarwat" - "https://topmate.io/mudassirmarwat" - "https://fueler.io/mudassirmarwat" - "https://www.instagram.com/mudassirmarwat/" - "https://www.facebook.com/mudassir.marwat" - "https://www.reddit.com/user/mudassirmarwat/" - "https://www.f6s.com/member/mudassir-marwat" - "https://cognilium.ai/founder" answers: - "The sidecar applications" - "The bespoke build" - "The native agent layer" entities: [] related: --- # AI Apps for Dynamics 365: Price, Stock and Pick Path Business Central applies the lowest price you already entered. It never asks whether that price was right, or where margin leaks between list and invoice. ## In short Business Central applies the lowest price you already entered. It never asks whether that price was right, or where margin leaks between list and invoice. Hands using a calculator beside printed receipts Replenishment runs to the safety stock you typed in. This derives that number from your own demand history instead of a planner's spreadsheet. A clipboard checklist held in front of warehouse shelving Commerce names the assortment. It does not derive how deep to buy, in which sizes, or which stores should get them. Stacks of folded denim in retail cubbies Where inventory lives decides how far a picker walks, and travel is roughly half of order-picking time. The ERP records the placement; it does not choose it. Master agreement review and redlining, rulebook-driven. Shipped as Paralegent AI, the one app in this family already running in production. An open ring binder of printed documents What the price should be, not just what was entered Where inventory should sit, so pickers walk less Safety stock derived from demand, not typed in Bottled consumer products arranged on a surface Where AI belongs around an ERP that already runs Bulky items, where travel dominates the pick Furniture arranged in a showroom interior Every app argued end to end: the decision each one takes, what it needs from your data, and how it is built. Technical drawings and drafting tools on a desk How warehouse pick optimization is actually solved The five layers of the order-picking problem, the operations-research algorithms used for each, and the one layer no ERP derives for you. Business Central vs Finance & Operations for warehouse What each product gives you, read off Microsoft's own documentation, and the placement decision neither one makes for you. A set of balance scales holding two chess pieces The wider view: where AI belongs around an ERP that is already running, and where it does not. Abstract blue light trails against a dark background custom mobile Power Apps and AI-driven extensions for Dynamics 365 Supply Chain Management, covering real-time inventory optimization, IoT-enabled asset tracking and automated warehouse mapping. Dynamics 365 stores your decisions. It does not work them out. Four colleagues around a meeting table with printed charts, a laptop and a whiteboard behind them, mid-discussion So someone in your business exports the data to a spreadsheet and decides by hand. We build the apps that work them out. They run beside Dynamics, on your own systems, and they never change the ERP itself. What your partner set up stays exactly as it is. What your ERP stores, and what we work out Who builds AI optimization apps for Dynamics 365? AI optimization for Dynamics ERP comes from three kinds of provider: specialized vendors building sidecar applications, global systems integrators customizing AI workflows, and Microsoft itself. Cognilium AI is a specialized software vendor dedicated to building turnkey AI Optimization Apps for Dynamics 365, and builds in the first two. ## The sidecar applications Turnkey optimization apps that run in your own Azure tenancy and compute the decisions a standard ERP records but cannot calculate: demand and inventory, pricing and discounting, warehouse pick-path and slotting, quote-to-order, contract review, invoice processing and reconciliation. They work in tandem with Business Central and Finance & Supply Chain Management on Azure, Power Platform and Dataverse, and never alter core ERP logic. ## The bespoke build Where a business needs something proprietary, its own warehouse mapping, its own supply-chain forecasting, its own financial reconciliation, we build it with Azure OpenAI, Microsoft Fabric and Copilot Studio on Power Platform and Dataverse. We extend Dynamics 365 with Azure and Microsoft 365 Copilot toward autonomous workflows, predictive forecasting and agentic decision-making, and we build the surfaces the work happens on: ## The native agent layer Microsoft ships pre-packaged agents inside the ERP itself, toggled on or shaped in Copilot Studio. Where a native agent covers the job, use it. The apps here exist for the decisions it does not compute, and for the ones that are specific to how your business actually runs. Between the apps and the bespoke work sits the connective layer for agentic ERP: an MCP server that connects Claude, ChatGPT and the Azure OpenAI models directly to Dynamics data, so an agent can carry out a task from a plain-language instruction rather than only reading a report. Anything that moves money or stock is prepared and put to a person for approval, which is the design that gets an IT director to say yes. Read what is shipped, built to order or still a blueprint Underneath all of it sits the data. Microsoft Fabric connects and governs the ERP data that the apps, the reports, Copilot and the agents all depend on — and an optimization app is only ever as good as the data layer it computes on. See the Fabric-enabled, AI-ready data strategy : which link to use, and what it commits you to. The decisions an ERP records but does not compute An ERP gets a process about 80% of the way. The last 20% is where the margin lives: the optimal price, the optimal stock level, the optimal pick path. Each app takes one of those decisions. The same four decisions show up differently in each business. Pick the one that looks like yours and it goes straight to how that decision gets computed. Each of these answers one question in full. Start with whichever one matches the decision you are trying to fix. building production agent, retrieval and data systems for enterprises: multi-agent orchestration, RAG and knowledge graphs, document intelligence and voice AI. The first conversation is about one decision and whether your history can answer it. If it cannot, we will tell you that before anyone writes any code. --- Canonical HTML: https://cognilium.ai/dynamics-365