Industrial occupiers ask granular operational questions. A logistics company looking for 250,000 sq ft of distribution space wants to know clear internal height to underside of haunch, number of dock doors and level-access doors, yard depth and circulation, power capacity (kVA), HGV trailer parking count, and any planning conditions on 24/7 operation. A light manufacturer asks about three-phase power, floor loading, drainage capacity for process water, and B2 use class. A last-mile delivery operator asks about urban infill availability with HGV access. None of those questions land politely on a contact form, and generic chatbots have no idea what a level-access door is.

SleekAI reads your industrial availability list directly with whichever specification fields you maintain. Eaves height, dock doors, level-access doors, yard depth, gradient, power capacity, sprinkler provision, EPC band, and the operational planning condition all become named fields the bot can quote in conversation. When a 3PL operator asks 'do you have any 250,000 sq ft units with 15m clear and 20+ dock doors within 5 miles of the M1 J16?' the bot answers from the live availability rather than sending them to a brochure.

Qualification on industrial work covers operational fit. The bot asks about throughput in pallets per day, racking strategy (block stack, narrow aisle, VNA), HGV trailer count, dock-versus-level requirement split, 24/7 operation needs, and target rates per sq ft. Investor flows pick up yield, covenant strength of tenant, lease length, and asset class preference. Captured enquiries reach the named industrial broker with full operational context, so the viewing happens against a brief the broker already understands.

Industrial real estate is the most spec-driven asset class in the market, and the questions occupiers ask sound like a foreign language to anyone outside the sector. Eaves to underside of haunch, dock door count, level-access door count, yard depth, gradient, power capacity in kVA, sprinkler provision, EPC, B2 versus B8 use class, 24/7 operation permission, narrow-aisle clearance, ASRS readiness, MHE charging headroom: none of these are casual filters. A 3PL operator looking for 250,000 sq ft along the M1 J15-17 corridor wants exact numbers on every one of those in the first message, and they will judge the broker on whether the response is a brochure email or a specific match against live availability.

Generic chatbots do not know what any of those terms mean. SleekAI reads your industrial availability list directly with whichever spec fields you maintain, and quotes them back in the right vocabulary. When the operator asks about 15m clear and 25+ dock doors near M1 J16, the bot answers with Northampton Logistics Hub Unit C at 15.5m clear and 28 dock doors, with the corresponding yard depth, power capacity, and EPC band.

The qualification flow captures operational reality: throughput in pallets per year, racking strategy, HGV trailer count, term and break preference. Investor flows cover yield, covenant strength of current tenant, WAULT, asset class preference, and ticket size. Multibot scopes per corridor or per named broker so the Midlands distribution team and the North West manufacturing team see only their own pipeline, and build-to-suit and last-mile urban infill run as separate scoped flows.

Captured enquiries reach the broker with the full operational brief and conversation transcript, so the viewing happens against a brief the broker already understands and the operator does not have to repeat themselves on the call back. For an asset class where the next-best alternative is always another corridor away and decisions get made on whether the broker speaks the operator's language fluently, having an always-on bot that does is the difference between a viewing and a missed enquiry.