Mechanical
Engineering workflows, service networks and spares — where the aftermarket is often more profitable than the original sale.
Engineering workflows, service networks and spares — where the aftermarket is often more profitable than the original sale.
Configuration and quotation tools that turn a specification into a priced proposal quickly, service network management for field engineers, spares availability and ordering systems, and technical documentation that customers and service teams can actually search.
For many engineering firms, service contracts and spares generate more profit over an asset's life than the original sale. Yet the systems supporting them are usually weaker — service history in spreadsheets, spares availability confirmed by phone, engineer visits scheduled informally.
Improving the aftermarket is generally the higher-return technology investment, and it is consistently overlooked in favour of the sales side.
Configuration and pricing assembled manually for each enquiry.
No single record of what was done to a given asset over its life.
Customers waiting while stock is checked across locations.
Manuals as scanned files nobody can find anything in.
Specification to priced proposal in minutes, with rules enforced.
Asset history, scheduling and field engineer mobile access.
Stock visibility across locations with customer-facing ordering.
Manuals made searchable by meaning rather than filename.
Yes, through OCR and semantic indexing, with quality depending on scan legibility. It is frequently among the fastest-payback projects available to an engineering firm, because service engineers stop calling colleagues to ask.
It depends on whether the rules can be articulated. If configuration lives in one experienced person's judgement, capturing those rules is the project — and doing so is valuable independently, because that knowledge is currently a single point of failure.
A discovery call is a working session on your constraint, not a sales pitch.
A short note is enough. You'll hear back from the team, not a bot — usually within one working day.
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