Order intake
Interpret an order received by email or PDF, identify the products, and prepare the order in authorized systems. The agent flags uncertain product matches and missing information for review.
Services/Our AI Approach/Custom commerce agents
AI commerce agents built for your business
Are your teams manually reentering orders, looking up product numbers, or preparing quotes using information scattered across systems? Novatize designs AI agents tailored to your processes and integrated with your systems. We handle assessment, implementation, and ongoing management. Each agent addresses a specific need, with clear operating rules and success metrics defined with you.
An agent that works within your ecosystem
A commerce agent can interpret a request, retrieve relevant data, and perform authorized actions in your tools. Its design accounts for your catalog, account-specific pricing, approval processes, and team responsibilities.
Our expertise in eCommerce and system integration connects these tasks to the operations that support sales, in both the industrial sector and retail. The agent operates within a defined scope, while a person reviews designated decisions and handles exceptions according to the project requirements.
Which processes could you improve?
These examples illustrate possibilities to adapt to your business. The assessment determines the relevant capabilities, integrations, and level of autonomy.
Quotes and pricing
Analyze a request, apply pricing schedules, and prepare a quote. Special pricing and exceptions to margin thresholds follow the approval rules defined with your team.
Product data
Turn supplier files into structured product listings, standardize attributes, and identify inconsistencies before publication. Your teams can then focus on the data that needs verification.
Parts identification
Find a part using a description or partial part number, then check compatibility against the available data. The agent requests human review when the information is insufficient.
Reordering and replenishment
Use purchase history and buying cycles to suggest a replenishment cart or notify the person responsible for the account. Customer-specific rules govern recommendations and approval.
Request qualification
Collect the information needed to understand a product or service request, then route the details to the right team or store. This use case is particularly relevant for retailers with technical products and complex store networks.
Start with the right use case
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1. Assessment and roadmap
We review your processes and measure current volumes, turnaround times, errors, and effort. We evaluate data, integrations, and expected value to recommend an initial use case. You receive a roadmap and proposal, even if implementation needs to wait.
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2. Design, integration, and pilot
We design the agent around your business rules and connect it to the relevant systems. A pilot with a defined scope lets us test its performance, exception handling, and human reviews before expanding its use. We help your teams learn how to work with it.
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3. Operations and maintenance
Novatize monitors results, corrects deviations, and maintains the integrations included in the project scope. We test updates and track the agreed metrics. New use cases and scope expansions are assessed separately.
Stay in control of agent actions
We work with you to define accessible data, permissions, and situations that require approval. Exceptions are routed to your team with the context needed to address them.
These controls are built into the agent’s design. They allow its actions to align with your requirements and keep human oversight within the process.
Measure value in your operations
Metrics depend on the use case: order or quote processing time, error rate, product listing quality, response time, or the share of requests requiring human intervention.
We compare these results against your baseline, accounting for usage and management costs. This gives you a basis for deciding on adjustments and next steps.