Vendor emails in mixed formats ate 19 hours daily. Now an AI agent reads them, buyers approve next steps in one dashboard.
A wholesale distributor generating approximately €100 million in revenue, helping major consumer brands bring packaging, point-of-sale materials, and promotional merchandise to market through product development, sourcing, manufacturing, and worldwide distribution.
Vendor confirmations arrived by email in different formats and languages, often buried in complex attachments, forcing buyers to move between...
Marketing merchandise and point-of-sale materials supply chain for FMCG and retail.
Built Promocean's agentic AI procurement app and integrated it with its SAP ERP landscape
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Promocean's Purchase order follow-up is part of this use case:
Related implementations across industries and use cases
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Staff manually cross-referenced vendor emails across screens. Now, an AI agent summarizes order changes for one-click human approval.
Each unit siloed, supplier risk consuming two weeks. Eight weeks later: 358 ideas from the floor, 57 incubated, 27 agents ready to scale.
English-only slides couldn't reach 25,000 technicians in vans and on job sites. AI video, culturally tailored for each region, finally did.
In a business where energy costs shift overnight, leaders were waiting on manual reports. Now they ask questions and get instant charts.
Multiple staff, one spreadsheet, inconsistent logs. Staff now describe incidents; AI classifies each, improving with every game.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
Vendor emails in mixed formats ate 19 hours daily. Now an AI agent reads them, buyers approve next steps in one dashboard.
A wholesale distributor generating approximately €100 million in revenue, helping major consumer brands bring packaging, point-of-sale materials, and promotional merchandise to market through product development, sourcing, manufacturing, and worldwide distribution.
Vendor confirmations arrived by email in different formats and languages, often buried in complex attachments, forcing buyers to move between...
Marketing merchandise and point-of-sale materials supply chain for FMCG and retail.
Built Promocean's agentic AI procurement app and integrated it with its SAP ERP landscape
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Promocean's Purchase order follow-up is part of this use case:
Related implementations across industries and use cases
Buyers dug through 10-page PDFs across nine inboxes, comparing each to POs line by line. AI agents handle 90%+—only deviations reach buyers.
Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Staff manually cross-referenced vendor emails across screens. Now, an AI agent summarizes order changes for one-click human approval.
Each unit siloed, supplier risk consuming two weeks. Eight weeks later: 358 ideas from the floor, 57 incubated, 27 agents ready to scale.
English-only slides couldn't reach 25,000 technicians in vans and on job sites. AI video, culturally tailored for each region, finally did.
In a business where energy costs shift overnight, leaders were waiting on manual reports. Now they ask questions and get instant charts.
Multiple staff, one spreadsheet, inconsistent logs. Staff now describe incidents; AI classifies each, improving with every game.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.