Customer story

Fashion Wholesale Company automatically surfaces 80%+ of shipment risks and production gaps

Deployed AI buyer update automation to eliminate manual shipment tracking and protect margin from late-delivery cancellations.

Industry

Retail

use cases

AI Buyer Update Automation

Provided solutions

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The Impact
70
%
reduction in time to complete weekly buyer update workflows
80
%+
of shipment risks and production gaps automatically surfaced
100
%
of buyer email drafts generated ready-to-send with minimal edits

Challenge 

Sales teams were spending hours each week manually pulling open-order exports, classifying shipment statuses, routing updates to the right buyers, and drafting individual emails - all from spreadsheets. When delays hit, communication was reactive, inconsistent, and slow. Missed or poorly timed updates led to buyer cancellations, margin concessions, and strained relationships. With no automated way to pair delay news with available alternatives, revenue recovery opportunities were routinely missed.

Solution 

Unframe designed and deployed an AI buyer update automation platform tailored to the company's wholesale sales workflows - giving sales teams structured, buyer-ready update packs and draft communications generated automatically each week. The solution ingests open-order and production exports, normalizes the data, and classifies every line by status - on time, extension needed, waiting on production, or shortage. It routes updates to the correct buyer, surfaces at-risk POs requiring immediate action, and pairs delay notices with available ship-now alternatives to protect revenue. Draft buyer emails and internal escalation messages are generated automatically, reviewed by the sales team, and sent with minimal edits.

As tailored as build & as fast as buy

Unframe gives you the best of both worlds - your data, your models, your governance - delivered through a platform that removes everything slowing you down. You stay in control. You just move faster.
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Firefighting was our default - every week, every buyer. Now we get ahead of problems before buyers even know they exist. That's transformed how my team shows up.

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