Hexagon Software, one of the UK’s leading providers of financial and property management software solutions, has introduced a new AI-powered intelligent invoice capture solution. Available as part of the company’s hosted platform Hexagon Cloud, it will deliver immediate and significant cost savings by reducing manual processing time by up to 80% whilst giving greater control and visibility of invoices across the organisation.

According to Hexagon Software: “This intelligent invoice capture solution delivers significant efficiency improvements by further automating workflow processes and freeing up staff to handle more productive, client-facing tasks. It provides faster data retrieval and greater visibility of the whole invoicing process.”

Processing time is dramatically reduced by using Google’s AI engine to automatically locate all relevant data from emailed invoices regardless of individual layouts with an accuracy rate in excess of 90%. This self-learning solution quickly identifies where particular information is located on invoices and automatically posts the data directly into Dream, Hexagon’s market-leading financial accounting software solution.

The use of machine learning eliminates the need to manually add barcodes and scan individual invoices before keying in the required data. It also removes the need to create individual templates for each supplier, as required by other applications. Any unread invoices are placed in an exceptions queue for individual review and are automatically tagged to speed up the retrieval process and cross reference to other relevant documents stored in the system.

Supplier invoices that contain order numbers are automatically matched to purchase invoices according to predefined criteria and processing is carried out according to individual business rules. Authorised approvers are automatically notified of invoices that require their attention via email for authorisation from any internet-enabled location on any device. When approved, invoice values are automatically uploaded to Dream or other financial systems including SAP, Oracle, Sun, JDE, Movex, Navision and Sage.

“This Hexagon Cloud invoice capture solution provides real-time insights as to what purchase orders have been raised across the organisation,” continued Hexagon. “It also demonstrates the potential for AI moving forward, providing the power to speed up the processing of other type of documentation such as leases and contracts.”

Videalert, one of the UK’s leading suppliers of CCTV traffic enforcement and management solutions, has integrated its market-leading Digital Video Platform with ZatPark’s end-to-end parking management software. Used in conjunction with Videalert’s Mobile Enforcement Vehicles (MEVs), this integration will enhance the ability of local authorities to manage permit parking and deliver significant productivity improvements.

According to RVidealert: “We are pleased to announce this integration with ZatPark further extends the capability of our MEVs in reducing the burden on back-office staff and alleviating frustration for vehicle owning residents.”

This integration will allow ZatPark data relating to applications for new resident and visitor parking permits to be synchronised to Videalert MEVs via 4G/5G ensuring that the vehicle’s onboard systems are always up to date. It eliminates the need for operators to manually upload or download data onto USB drives and improves efficiency by ensuring MEVs are using the latest data, reducing the incidence of false reads.

This functionality is now available throughout Videalert’s expanding range of multi-purpose MEVs which includes fully electric cars, vans and bikes as well as hybrid and other fuel variants. It can also be retrofitted to existing vehicles regardless of supplier.

“Videalert’s integration with ZatPark allows real-time synchronisation of data throughout the enforcement chain,” added Gavin Manger Head of Solutions at ZatPark. “We know our clients will gain real value from this partnership, helping teams to ‘Work Everyday Better’ for residents and motorists.”