Industries · Retail
Retail systems that convert.
Overview
Retail technology that connects channels
Challenges
Retail problems that show up in revenue
Generic shopping experiences
Everyone sees the same grid, so conversion and AOV stay stuck.
Inventory lies across channels
Site, store, and marketplace stock disagree—leading to cancels and angry buyers.
Store ops buried in busywork
Associates spend time on manual counts and ticket chasing instead of selling.
Promotions without measurement
Campaigns launch, but nobody can see what actually moved the needle.
Solutions
How we connect retail demand, stock, and experience
Solution 01
Demand-aware replenishment
Problem
Stores stock out while warehouses hold the wrong mix.
What we deliver
Forecasting and inventory sync that ties sell-through to replenishment and promotions.
Solution 02
Unified commerce journeys
Problem
Online, store, and marketplace channels feel like separate businesses.
What we deliver
E-commerce and OMS-aware flows so catalog, orders, and fulfillment share one customer journey.
Solution 03
Personalization that converts
Problem
Generic promotions waste margin without moving the right SKUs.
What we deliver
Recommendation and merchandising AI grounded in real catalog and inventory constraints.
Solution 04
Ops visibility for store and DC
Problem
Managers chase status across POS, WMS, and chat threads.
What we deliver
Retail ops dashboards and mobile tools that surface exceptions before customers feel them.
Capabilities
What we build for retail brands
01
Recommendation & personalization
Relevant product discovery on site and app—grounded in real catalog and behavior data.
02
Demand sensing support
Forecast aids that help planners react to sell-through and seasonality.
03
E-commerce platforms
Storefronts, checkout, and order flows built for conversion and peak traffic.
04
Omnichannel inventory sync
Keep availability honest across web, stores, and marketplaces.
05
Store operations tools
Tasking, transfers, and exception handling for floor teams.
06
Customer support assistants
Order and policy Q&A that deflects tickets without inventing answers.
07
Merchandising admin
Catalog, pricing, and campaign tools marketing can run without engineering tickets.
08
Analytics for retail growth
Funnel, product, and cohort views that explain what to do next.
Use cases
Retail use cases
Lift conversion with relevance
Show the right products and bundles for each shopper journey.
Cut cancel rates
Accurate stock and clearer fulfillment promises protect trust.
Speed store execution
Give associates mobile-friendly tools for counts, picks, and tasks.
Scale support without headcount spikes
AI assistants handle common order questions with safe escalation.
Recommended services
Where to start in our practice
Why it matters
Why retailers choose Plutonic
Commerce + ops together
Pretty storefronts fail without inventory and order systems behind them.
Peak-ready engineering
Performance and release discipline for sale events—not average Tuesdays only.
Practical AI
Personalization and assistants tied to catalog truth and measurable lift.
Channel flexibility
D2C, marketplace, and store workflows in one coherent architecture.
Case studies
Related outcomes
FAQ
Retail questions
Yes—catalog, customers, and orders with a cutover plan that protects revenue.
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Align product, stock, and experience across channels
Book a call to prioritize commerce, personalization, or store ops.
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