Data & BI Dashboards for Manufacturing & B2B
Production, inventory and sales data in an ERP nobody can report from usefully.
Business intelligence work consolidates data from ad platforms, CRM, your product and your accounting system into one warehouse, with agreed metric definitions, and presents it as dashboards. For a manufacturer or B2B supplier, the work is judged on a qualified RFQ from a buyer with real volume behind them. A warehouse alongside the ERP, with dashboards that do not require an ERP consultant to change.
What is costing you money today
Production, inventory and sales data in an ERP nobody can report from usefully.
A website that is a brochure with no specifications on it, so the engineer evaluating you leaves to find a datasheet and never comes back.
What changes once this is in place
A warehouse alongside the ERP, with dashboards that do not require an ERP consultant to change.
How manufacturing & b2b actually buys
Three to twelve months, several stakeholders, and a decision that frequently comes down to a spec sheet and a factory audit.
- The unit of value
- a qualified RFQ from a buyer with real volume behind them
- The common mistake
- A website that is a brochure with no specifications on it, so the engineer evaluating you leaves to find a datasheet and never comes back.
- What we do instead
- Put the spec sheets, tolerances and certifications on indexable pages. That is what the technical buyer searches for and what wins the RFQ.
What it has to talk to
A build for a manufacturer or B2B supplier is mostly integration work. These are the systems we expect to exchange data with:
- ERP
- CRM
- IndiaMART / trade portals
- Product catalogue & PIM
- Quotation tools
The words your buyers actually use
Generic service copy loses to copy written in the vocabulary of the vertical. These are the terms that carry intent here, and the ones the pages we build are structured around:
- MOQ
- technical datasheet
- OEM
- bulk enquiry
- certifications
- lead time
- incoterms
The rules this sits under
Export documentation and incoterms if you quote internationally; product certification claims (ISO, CE, BIS) must be substantiated.
What you get
- Metric dictionary — Every metric that matters, defined in a sentence, agreed by the people who use it. The most valuable and least exciting deliverable here.
- Data pipelines — Automated extraction from ad platforms, CRM, store, product and accounting systems, with failure alerting.
- Warehouse — A modelled layer where the joins and transformations live once, so every dashboard reads the same numbers.
- Dashboards — Executive, marketing, sales and operations views, each built around the decisions that audience actually makes.
- Attribution model — Spend joined to leads joined to closed revenue, with the model's limitations stated rather than hidden.
- Automated distribution — Scheduled summaries to email or Slack, so the numbers reach people who will not open a dashboard.
- Alerting — Thresholds on the metrics that matter, so a problem announces itself rather than waiting for the monthly review.
- Documentation and training — How the data flows, what each metric means, and how to add a chart without breaking anything.