Prevent delays, reduce data-driven failures, and accelerate decisions with built-in automation.
WAPI AI prevents common carrier-side failures and removes repetitive portal actions.
Ask for operational insights by GEO and timeframe — and get actionable lists immediately.
WAPI AI helps teams anticipate closures and nationwide disruptions — so you can adjust operations proactively.
WAPI AI validates key data at the source, so fewer orders fail downstream and fewer tickets are created.
We stopped reacting to exceptions — and started preventing them. Less manual work, fewer avoidable failures, and faster decisions across markets.
WAPI runs multi-market ecommerce operations where delivery depends on clean data, predictable cut-offs and fast exception handling. As volume grows, manual control breaks first — that is where the AI layer steps in.
Multi-GEO holidays are easy to miss, and a single skipped closure breaks the cut-off. WAPI AI tracks closures per market and reminds the team before dispatch is affected.
Up to 90% less time on holiday planning
Strikes, weather and infrastructure failures are usually noticed once SLAs are already at risk. News monitoring flags the signal while there is still time to react.
Pause and reroute decisions before customer impact
New SKUs enter with inconsistent size and weight, which turns into rejections, surcharges and returns downstream. Validation runs at creation, and valid SKUs are confirmed automatically.
Up to 70% fewer master-data errors
Orders get stuck before carrier assignment when address fields exceed limits or miss required parts. Addresses are checked and corrected before the order leaves.
30–45% fewer «cannot assign» failures
Extra attempts normally mean manual entry in each carrier portal. Requests go to the carrier automatically, with a traceable status back in WAPI.
80% faster extra-attempt submission
Reporting on trouble statuses takes hours of exports and arrives too late to act on. Any GEO and any period is answered on request.
Reporting in seconds instead of hours
Parcels expire at pickup points without proactive control, which creates returns and support load. Aging lists show days remaining and trigger outreach in time.
40–55% fewer expired pickups
A practical automation layer that runs inside the flows your team already uses — without adding steps to them.
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