Warehouse Compliance

Warehouse compliance software that turns near-misses into prevented incidents

Generate risk assessments for MHE operations, racking, picking, and loading — mapped to PUWER, LOLER, manual handling and workplace transport regulations automatically.

SafeSite AI Technology connects every warehouse document to the regulations it evidences, links incidents to failed controls, and detects recurring risk patterns before they become RIDDOR reportables.

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MHE
forklift and truck compliance built in
LOLER
lifting equipment examination tracked
14
UK regulatory frameworks covered
14-day
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Regulation Evidence Map

SafeSite AI Technology regulation evidence map showing PUWER, LOLER and manual handling clause-level mapping for warehouse compliance

Every warehouse document is mapped to the specific UK regulations it evidences — down to clause number and section.

Compliance Intelligence

SafeSite AI Technology compliance intelligence for warehousing showing recurring near-miss patterns and audit readiness

Recurring near-miss patterns, control drift signals, and evidence gaps — surfaced automatically from your warehouse incident data.

The compliance challenge in warehouse operations

Warehouses concentrate risk — forklifts and pedestrians sharing space, racking under constant load, repetitive manual handling, agency workers on short inductions, and seasonal peaks that stretch every control. The near-misses happen daily. Most get logged in a book, and the pattern that precedes a serious incident stays invisible until it's too late.

SafeSite AI Technology connects every near-miss, risk assessment, and inspection record — detecting when the same aisle, task, or truck keeps appearing in incident data, and flagging the control that needs review before the pattern becomes a RIDDOR reportable.

Built for warehouse compliance

MHE operations — PUWER and LOLER
Forklift, reach truck, and PPT risk assessments mapped to PUWER 1998 and LOLER 1998 — thorough examination records, operator competence, pre-use checks, and maintenance evidence.
Racking safety
Racking inspection regimes, damage reporting, and load notice compliance — with inspection records linked to incidents and SEMA-aligned damage classification evidence.
Workplace transport
Traffic management risk assessments covering vehicle-pedestrian segregation, one-way systems, loading bays, and yard operations — mapped to MHSWR requirements.
Manual handling and picking
Manual handling assessments for picking, packing, and palletising tasks mapped to the Manual Handling Operations Regulations 1992 — with repetitive strain patterns detected from incident data.
Near-miss pattern detection
Every near-miss feeds the intelligence layer. The same aisle, task, or truck appearing repeatedly triggers a control drift alert — before the pattern becomes an accident.
Agency worker compliance
Induction records, competence evidence, and task-specific risk assessments for agency and seasonal workers — traceable through every peak period.

Why warehouse teams choose SafeSite AI Technology

Most software logs near-misses in a list.

SafeSite detects when the same aisle, task or truck keeps appearing — and flags the control that's drifting.

Racking inspections usually live in a separate system.

SafeSite links inspection records, damage reports and incidents into one traceable evidence chain.

Agency worker records are scattered across spreadsheets.

SafeSite gives every worker and task a traceable compliance trail — through every seasonal peak.

Compliance normally stops at the document.

SafeSite closes the loop — from risk assessment to near-miss to control to audit trail.

Warehouse regulations mapped automatically

SafeSite AI Technology maps warehouse compliance documents to the specific UK regulations that apply to the work.

PUWER 1998LOLER 1998Manual Handling Regs 1992HASAWA 1974MHSWR 1999RIDDOR 2013Workplace Regs 1992Work at Height Regs 2005COSHH 2002EAWR 1989Fire Safety Order 2005DSEAR 2002

Build audit-ready warehouse compliance today

Start building your warehouse compliance record today.

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