Your product data was written for engineers, not buyers
Specifications live in ERP records, PDFs, CAD files and engineering documents. Your dealers need them as searchable attributes, your marketplace needs them as a feed, and your buyer needs them as an answer. Iksula does that translation at industrial scale.
Why manufacturing commerce is harder than retail
Retail-first tools assume the product data already exists in a usable shape. In manufacturing it never does.
The source data is unstructured by nature
Specifications sit in ERP tables, supplier PDFs, CAD drawings and engineering change notices. Turning that into attributes a buyer can filter on is the whole job, and it is continuous rather than one-off.
You sell through four channels at once
A dealer portal, a direct storefront, global marketplaces and retail partner feeds — each needing different formats, different pricing logic and different visibility rules from the same master record.
Complex products fail at selection, not at checkout
When a buyer cannot tell whether a part fits, they call your engineers or they leave. Configurable and compatibility-driven ranges lose the sale long before the basket.
End-to-end manufacturing commerce capabilities
Power your manufacturing commerce across product data, platform engineering, and operational intelligence — built for industrial scale.
Product content capture and creation at scale
Data quality and governance
Product information and asset management
Dealer and distributor portals
Direct-to-consumer commerce launch
Guided selling for technical ranges
Conversational analytics
Data modernisation
AI Accelerators
PC2 Product Content Creator
Extracts and structures product data from supplier PDFs, spec sheets, CAD drawings, and engineering documents. Works across all industrial categories at millions-of-SKU scale.
Data Quality & Governance(Athena)
ML-powered engine validates specs, enforces compliance standards, eliminates duplicates, and governs master data. No-code rule builder — any business user can operate.
Conversational Data Insights(CDI)
Transforms manufacturing and commerce data into real-time conversational answers. Ask in plain language — stock levels, order performance, campaign results — instant results, no analysts needed.
Product Selector Agent
AI-powered guided selling for complex technical products. Multi-spec compatibility queries, configurable product logic, multi-language support for B2B buyers and dealer networks.
Ready to see these accelerators in action? Request a live manufacturing demo.
The kind of work we do
Manufacturing sectors we serve
Configurable products
Industrial equipment & machinery
Specification data extracted from datasheets and drawings at scale, with guided selection that walks a buyer through a multi-step technical choice instead of handing them a filter list.
Compliance & certifications
Electrical & electronics
Certification data, compliance codes, regional variants and wiring diagrams — structured and governed so distributors and equipment makers get an accurate, compliant product record when they need one.
SDS & regulatory data
Chemicals & specialty materials
Safety data sheets, regulatory compliance, hazard classification and regional labelling — extracted and governed, so a compliant commerce channel is possible at industrial scale.
Automotive parts
Automotive & aftermarket
Part cross-reference, supersession history and fitment data — the three things that decide whether an aftermarket buyer finds the right part or gives up.
Building materials
Building materials & construction products
Long dealer networks, scheme and rebate structures, and technical product data that has to satisfy both a specifier and a site. We build the channel systems and the product data together.
Where Is Your Manufacturing Business on the Digital Commerce Journey?
Most manufacturers are between Stage 2 and 3. Iksula accelerates the path to Stage 4 and 5 using pre-built AI accelerators.
Stage 1
Pre-Digital
Manual orders, paper catalogs, phone/email selling. No ecommerce presence.
Stage 2
Basic Online
Static website or distributor portal. Limited product data. No personalisation.
Stage 3
Connected Commerce
B2B portal live. ERP connected. But data is fragmented and manual processes remain.
Stage 4
AI-Accelerated
PC2, Athena, CDI deployed. Automated catalog. Real-time data insights. D2C channel live.
Stage 5
AI-Native
Autonomous catalog ops. Predictive demand. Conversational commerce. Agentic AI running workflows.
Strategic Technology Partnerships
We combine leading commerce, data, and AI platforms to build scalable manufacturing commerce ecosystems.
B2B & B2B2C Commerce
End-to-end commerce for manufacturers — dealer portals, distributor management, contract pricing, multi-tier channel management, and self-service reordering. Connect suppliers, distributors, and buyers into one seamless operation.
Product Data & Catalog Automation
Modern AI pipelines replacing manual cataloging — PC2, Athena, and PIM/MDM implementation for manufacturers processing millions of technical SKUs across multiple suppliers, categories, and geographies.
D2C Commerce Launch
Production-ready D2C storefronts on Adobe Commerce, SAP, or Shopify Plus — built for manufacturer brand experience, product configurators, warranty registration, and direct-to-consumer fulfilment.
Data Modernization & AI
Snowflake and Databricks platforms, Gen AI deployments, and conversational analytics — replacing fragmented ERP reports with real-time manufacturing intelligence across sales, supply chain, and operations.
Where to go next
Four ways to work with us
Pick the shape that fits the problem, not the other way round.
Projects
A defined scope, a fixed outcome and a date. Best when the problem is understood and the answer is a build.
Dedicated teams
A standing team that works as an extension of yours. Best when the work is continuous and the domain takes time to learn.
Staff augmentation
Named specialists who join your team and report into your managers. A service delivery manager and an agreed service level sit behind them, so a staffing engagement can mature into owned outcomes.
Commerce Capability Centre
Your own commerce, data and AI capability, established and then transferred to you. We run the work while we build the team that will take it over.
Frequently asked questions
How do manufacturers manage product catalog data at scale?
With automated extraction from the sources the data already lives in — supplier documents, specification sheets, engineering files and ERP exports — feeding a governed product information platform. The work is continuous rather than a one-time load, because suppliers keep changing what they send.
Should a manufacturer sell direct or through distributors?
Most benefit from both. The channel protects existing revenue while direct builds brand and first-party data. Modern platforms serve both from one stack with different pricing logic and visibility rules per channel. The hard part is not the platform — it is keeping one governed product record behind both.
How long does a business-to-business commerce implementation take?
It depends on the state of your product and price data far more than on the platform. Where the data is governed, a working dealer portal is a matter of months. Where it is not, the portal is the easy half. We tell you which situation you are in before you commit to a date.
What AI tools do manufacturers use for product data?
Leading manufacturers use three categories: (1) AI extraction tools that capture structured data from unstructured sources like PDFs (e.g. Iksula PC2), (2) data quality governance engines that detect duplicates and enforce attribute standards (e.g. Iksula Athena), and (3) conversational analytics tools that let business users query product and operational data in plain language (e.g. Iksula CDI).
What is the biggest barrier to commerce for manufacturers?
Product data quality. Everything downstream — search, selection, channel feeds, AI visibility, even demand planning — inherits whatever state the product master is in. It is also the least visible problem, because it does not fail loudly. It just quietly costs you conversions.
How do you build a B2B distributor portal for a manufacturing company?
A B2B distributor portal requires: a commerce platform (Adobe Commerce, SAP, or Shopify B2B), contract and tiered pricing logic, self-service reordering workflows, product catalog access by account tier, and ERP integration. It can be built alongside a D2C storefront on headless architecture.
Tell us what is breaking
A short conversation is usually enough to tell whether this is a data problem, a platform problem or an operating problem. Book thirty minutes with our team.
Connect with our experts
DJ Basumatari
Chief Executive Officer
Abhishek Jain
Director - Solutions & Innovation
