Retail & E-Commerce

Put AI to work across inventory, customer service, and returns. One task at a time.

Jobs view

Three roles in retail ops, redesigned at the task level

Role A

Inventory planning

Inventory analyst
Hours back per analyst
20 to 28per week
Per category replenishment cycle
3-5 hrs → 45-60 min
TaskBefore AIWith AI
Read sales velocity and seasonality signal45 to 75 min5 to 10 min
Cross-reference supplier lead times and in-transit inventory40 to 60 min5 to 10 min
Draft the replenishment plan per SKU60 to 90 min15 to 25 min
Review exceptions and approve high-stakes overrides30 to 45 min10 to 15 min

Illustrative pattern from task structure across live postings. Bring your baseline and we replace these with your numbers.

AI reads sales velocity, seasonality signal, supplier lead times, in-transit inventory. Drafts the replenishment plan per SKU with trade-offs surfaced. Analyst reviews exceptions and approves the override on high-stakes items.

See the role detail →
Role B

Customer service

Customer service rep
Hours back per rep
18 to 26per week
Per support ticket
5-10 min → 1-3 min
Tickets cleared per shift
3xsame CSAT
TaskBefore AIWith AI
Read the customer query1 to 2 min10 to 20 sec
Pull order history and shipping status1 to 3 min10 to 20 sec
Check returns eligibility and apply policy1 to 3 min10 to 30 sec
Draft the response and send, or escalate1 to 2 min20 to 60 sec

Illustrative pattern from task structure across live postings. Bring your baseline and we replace these with your numbers.

AI reads the customer query, pulls order history, shipping status, returns eligibility. Drafts the response with the policy correctly applied. Rep reviews and sends, or escalates the case that AI flagged.

See the role detail →
Role C

Returns processing

Returns specialist
Hours back per specialist
22 to 30per week
Per return
10-18 min → 3-5 min
Returns auto-processed
70%specialist takes the 30% edge cases
TaskBefore AIWith AI
Read the return reason and order context2 to 4 min20 to 40 sec
Pull customer history and check policy3 to 5 min20 to 40 sec
Draft the refund or replacement decision3 to 5 min30 to 60 sec
Review flagged cases (high-value, repeat, abuse)2 to 4 min1 to 2 min

Illustrative pattern from task structure across live postings. Bring your baseline and we replace these with your numbers.

AI reads the return reason, order context, customer history, policy. Drafts the refund or replacement decision with reasoning logged. Specialist reviews the flagged cases (high-value, repeat returner, suspected abuse).

See the role detail →
8,226
Real job postings in this industry
502
Companies in this industry
5,791
Tasks mapped to industry roles
233
Retail tasks ready for AI augment

Where AI cowork lands first in retail ops

233 retail tasks where the AI takes the load and the human stays on the decision. Pulled live from our task taxonomy. The top 5 are below. 261 more are ready for full automation, expand the list to see them.

Augment
Reconcile top-down and bottom-up plans through collaborative negotiation workflow
Merchandise Financial Planning · Aptos
Augment
Submit final plan versions for executive review and approval
Merchandise Financial Planning · Aptos
Augment
Review and adjust auto-generated schedules for manager preferences and employee requests
Store Workforce Management · Aptos
Augment
Process schedule exception requests (shift swaps, early departures, overtime approval)
Store Workforce Management · Aptos
Augment
Aggregate customer interaction data across channels
AI Pro — Behavioral Email Personalization · Attentive
261 retail tasks ready for full automation
Automate
Define planning calendar with seasons, fiscal periods, and key event dates
Merchandise Financial Planning · Aptos
Automate
Build top-down financial plan targets (sales, margin, inventory turn) by department and class
Merchandise Financial Planning · Aptos
Automate
Create bottom-up plan by aggregating store-cluster level forecasts
Merchandise Financial Planning · Aptos
Automate
Model what-if scenarios for different sales growth, markdown, and inventory assumptions
Merchandise Financial Planning · Aptos
Automate
Set open-to-buy budgets by period based on planned receipts and inventory targets
Merchandise Financial Planning · Aptos
Automate
Monitor in-season plan-to-actual variance and identify departments needing intervention
Merchandise Financial Planning · Aptos
Automate
Reforecast mid-season plans based on actual sales trends and external factors
Merchandise Financial Planning · Aptos
Automate
Track planned vs. actual GMROI (gross margin return on investment) by category
Merchandise Financial Planning · Aptos
Automate
Generate plan summary presentations for quarterly business reviews
Merchandise Financial Planning · Aptos
Automate
Configure labor demand model using traffic, transactions, and task-based drivers
Store Workforce Management · Aptos
Automate
Generate optimal schedules based on forecasted demand and employee availability
Store Workforce Management · Aptos
Automate
Manage employee skill profiles and certification requirements for schedule eligibility
Store Workforce Management · Aptos
Automate
Publish schedules and notify employees via mobile app with acceptance confirmation
Store Workforce Management · Aptos
Automate
Monitor real-time labor deployment against planned coverage and adjust for call-outs
Store Workforce Management · Aptos
Automate
Track time and attendance with biometric or badge-based clock-in at store
Store Workforce Management · Aptos
Automate
Manage compliance with predictive scheduling laws (advance notice, clopening rules, right to rest)
Store Workforce Management · Aptos
Automate
Analyze labor productivity metrics (sales per labor hour, conversion, customer service scores)
Store Workforce Management · Aptos
Automate
Generate payroll-ready timesheet data with break compliance and overtime calculations
Store Workforce Management · Aptos
Automate
Identify anonymous website visitors using Attentive Signal
AI Grow — Subscriber Acquisition · Attentive
Automate
Match visitor profiles to intent signals
AI Grow — Subscriber Acquisition · Attentive
Automate
Present optimized sign-up units tailored to visitor context
AI Grow — Subscriber Acquisition · Attentive
Automate
Capture qualified leads with compliant consent
AI Grow — Subscriber Acquisition · Attentive
Automate
Define trigger conditions for journey entry
Omnichannel Journey Automation · Attentive
Automate
Assign channel per touchpoint (SMS/email/push/RCS)
Omnichannel Journey Automation · Attentive
Automate
Track customer journey across all touchpoints
Customer Journey Optimization · Bloomreach
Automate
Identify friction points and drop-off stages
Customer Journey Optimization · Bloomreach
Automate
Generate next-best-action recommendations
Customer Journey Optimization · Bloomreach
Automate
Ingest and unify customer data from disparate sources
Marketing Automation & CDP · Bloomreach
Automate
Activate segments in email, SMS, web, and ad campaigns
Marketing Automation & CDP · Bloomreach
Automate
Track cart activity and identify abandonment events in real time
Cart Abandonment Recovery · BlueConic

How we work with retailers

Co-sponsored model. Functional head (VP Merchandising, Head of CX, VP Supply Chain, COO) plus your transformation office in the room. Sprint proves the redesign in 90 days inside one functional area. Transformation Engagement scales across the operating model, same OMS, same WMS, same brand voice.

Sprint
90 days
One functional area, three tasks redesigned
Transformation Engagement
Custom
Operating-model redesign across merch, CX, supply chain, returns
Implementation
Same OMS/WMS
Same staff, same Shopify/Salesforce/SAP, AI cowork layer on top

Want a retail-specific walkthrough?

20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your brand frame.

Book a time