Industrial manufacturing sales are technical, configuration-heavy, and high-stakes: wrong specifications cause delays, budget overruns, and liability issues. Generic AI tools cannot handle the combination of complex product data, project context, compliance rules, and customer-specific pricing. Kleio is purpose-built for manufacturing, with pre-built ontologies for industrial equipment, heavy machinery, building materials, pharmaceuticals, and chemicals, plus a platform that augments application engineers and sales reps by automating technical quote generation, RFQ response, follow-ups, and meeting scheduling.

Technical buyers (engineers, procurement specifiers, plant managers) ask hard questions: load ratings, compliance certifications, compatibility with existing equipment, lead times for specific configurations. Kleio's agents pull from product datasheets, technical guides, and compliance documents in your Document Store to give accurate, sourced answers, then generate technical interactive quotes and schedule follow-ups with the right application engineer. Work that previously required a senior technical sales rep on every inquiry.

Yes. Kleio's manufacturing agents capture technical specifications, application context, and compliance requirements through guided conversation, then match them to the right product configuration across multiple variants and options. The agent generates an accurate interactive RFQ response with full pricing, lead time, and certification documentation, then runs automated multi-channel follow-ups and schedules calls with engineers when the deal advances, typically reducing time-to-quote from days to minutes.

Industrial buyers don't want to wait days for quote responses or escalate every product question to a sales rep. AI agents on your portal handle technical product lookups, configuration guidance, real-time stock and lead-time checks, interactive quote generation, and meeting scheduling, 24/7. For repeat customers, agents pull contract pricing automatically. For new prospects, they qualify the opportunity, share a quote, schedule a callback, and route the lead to your sales team with full context. Reps engage only when human expertise drives value.

Yes, when the platform indexes the right documents. Kleio's Document Store ingests product datasheets, certifications (CE, UL, ISO, ATEX, FDA, REACH), installation guides, and code compliance documents, then makes them searchable by AI agents. When a buyer asks 'is this pump ATEX-certified for Zone 2?', the agent surfaces the actual certification document, attaches it to the quote, and schedules engineer follow-up if needed. Not a generic answer.

A chatbot directs users to a product page or a callback form. An AI sales agent qualifies the application, recommends specific products that meet technical requirements, applies contract pricing, checks availability and lead times, generates the RFQ response or interactive quote, schedules follow-ups, and updates the CRM. For manufacturers, this is the difference between losing a deal to a faster competitor and capturing the full project order, while freeing application engineers from repetitive quote work.

Yes. Kleio integrates with major ERP systems used in manufacturing (SAP, Oracle, Microsoft Dynamics, Infor) and PIM platforms (Akeneo, Salsify). The Knowledge Engine ingests product data, customer-specific pricing, contract terms, certifications, and inventory in real time. Automated quotes, follow-ups, and meetings sync back to your CRM and ERP so application engineers and sales reps see every AI-driven action in the systems they already use.

Typical manufacturing deployments take 8-12 weeks. The pre-built manufacturing ontology models product hierarchies, technical attributes, configurations, certifications, and project workflows, accelerating the work. Most time goes into integrating your specific product data and technical documents, connecting messaging channels for automated follow-ups and scheduling, modeling customer-specific pricing and contract logic, and training the agent on category-specific knowledge. Both portal self-service and engineer-copilot use cases deploy in parallel.

Kleio is deployed in manufacturing and industrial use cases across European groups, covering industrial equipment, building materials, heavy machinery, pharmaceuticals, and chemical manufacturing. Use cases include B2B portal self-service, application engineer and sales rep augmentation, automated technical quote generation, multi-channel follow-up nurturing, and meeting scheduling. Specific references are available under NDA on request.

Yes. Kleio automates the repetitive, high-volume work that consumes most of an application engineer's or sales rep's day: parsing technical RFQs, matching specifications to the right product configurations, generating interactive technical quotes with compliance documentation, running multi-channel follow-up sequences, scheduling calls based on engineer availability, and enriching the CRM after every interaction. Engineers and reps keep ownership of complex deals, while the AI removes the configuration and admin work around it.

Manufacturers can't easily expand application engineering or sales headcount, and these specialists become the bottleneck as deal volume grows. Kleio gives each engineer and sales rep a copilot that automates technical product qualification, quote drafting with compliance docs, multi-channel follow-ups, and meeting scheduling, letting each specialist handle 2-3x the opportunity volume while keeping the human in control of complex configurations and closings. AI also covers nights and weekends with instant inbound RFQ engagement.