Prepare Requests and Item Data With AI for Exhibition Stands
In exhibition stand construction, your team can hand office work to AI. From a customer request, the AI brings the changing details together and drafts the questions back. For new items, it prefills the name and description from a photo. Nothing goes out without your approval. Whether an item is free for the required dates or already reserved for the next stand is decided by a fixed rule instead. Software for exhibition stand construction and project manufacturing therefore has to connect stock, reservations and project status.
What to check on a real exhibition project
- Before committing: is the item available for the required dates or reserved for another project?
- During packing and loading: which quantities are still in the warehouse, and which are on the truck?
- During installation: which items have arrived at the stand, and which are still missing?
- With a poor connection: can staff record movements on site and check them against stock rules when they sync?
How Hakomi connects stock with project status
CERTAINCE developed Hakomi for NEO Expo. The application connects items, reservations and material movements. Warehouses, trucks, exhibition stands and portable bins are locations in the same system. Staff scan items and locations using QR codes, check quantities and record movements. The project view uses these records to show planned, delivered and on-site material. Movements recorded offline are checked against the same stock and reservation rules as online entries when they sync.
AI only makes suggestions here. A photo can prefill item names, descriptions and other details. A member of staff checks the draft and enters dimensions and quantity manually. Selected items can then be transferred as drafts to XPO Market, where pricing and publication remain controlled.
For your business, we first check whether the programs you already use can support these handovers. A fixed automation is often enough for settled rules. Custom software is an option where reservations and project workflows need rules specific to your operation. An AI agent can bring together changing information or prepare a draft; fixed stock rules stay in the software.
AI has cut the cost of a first version of owned software significantly; operating it, maintaining it, keeping the data clean and reviewing its output stay real work, so the honest comparison runs over three years. Human review stays where mistakes have consequences; the result is yours: tested, maintainable code. If you want to digitize exhibition project workflows, let us discuss a concrete workflow.