What we have built

The challenge

The systems held years of customer and order data. Many fields were out of date or empty, and nobody could see which customers had grown in the meantime or had not ordered anything for a long time.

The solution

We run the existing files through an enrichment step. For each company, AI looks up what has changed since it was last recorded, fills in the missing details and sets them against the order history. What comes out is a list of concrete reasons to pick up the phone.

The challenge

Customer data sat in the CRM, orders and stock in the ERP. A simple question like "how is this customer doing?" meant opening two systems and piecing it together yourself.

The solution

An AI assistant that can consult the CRM and the ERP at the same time. Management and the sales team ask questions in plain language, such as "which customers ordered less this quarter than last year?", and get an answer based on current data. The assistant has read-only access, so it cannot change anything in the systems.

The challenge

Every market has its own sources and its own markers of a good customer. Building lists from scratch for each new audience takes so much time that most companies never get past one market.

The solution

One pipeline, with its own set of sources and criteria per niche: public registers, licences, sector characteristics and buying signals such as a job posting or a new location. A new audience is a matter of configuration rather than rebuilding. Enrichment and outreach stay the same after that.

The challenge

Purchasing was a puzzle. Stock sat in the ERP, prices and lead times in suppliers' PDFs, and sales figures somewhere else again. Putting an order together took a lot of time, and getting it wrong cost revenue.

The solution

A tool that combines stock and sales history from the ERP with suppliers' price lists. The result is a purchase proposal that the buyer reviews and adjusts. The ERP connection is read-only, so the tool changes nothing in the administration.

The challenge

Tyres arrive by container from Asia. Whether a shipment was delayed only became clear when it failed to turn up. Someone had to go round the shipping lines' websites every day to check the status.

The solution

A dashboard that tracks the ships carrying the containers automatically through AIS data. If the expected arrival time shifts, the team is notified straight away.

The challenge

The market consists of thousands of haulage companies, but far from every one of them is a good customer. The sales team searched for new prospects by hand and often had no idea whether a company ran enough trucks to be worth approaching.

The solution

A pipeline that finds and enriches new haulage companies every month. Each one is checked for a valid transport licence and for the number of tractor units in its fleet. Only the companies that meet the criteria move on to the CRM and into an automated outreach sequence.