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AI-first engineering

AI Copilot Development Services for Retail.

AI copilot development services for retail merchandising, store operations, inventory, customer support, and ecommerce workflows.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

15+
Years building production software
120+
Engineers across delivery pods
75+
Clients served in North America
3K+
Successful product releases
Why Logiciel

Why Retail Copilots Need Live Operational Context.

Why Logiciel · 01

Product information, promotions, stock levels, and store policies change across locations and channels.

Why Logiciel · 02

A helpful-sounding answer becomes a poor customer experience when it cites an unavailable item or outdated offer.

Why Logiciel · 03

Store associates and support teams often search multiple systems to resolve a single customer question.

Why Logiciel · 04

Merchandising and inventory decisions require context from sales, availability, seasonality, and business rules.

Why Logiciel · 05

Customer data and loyalty information must be limited to the users and purposes that are authorized.

Why Logiciel · 06

Suggested refunds, discounts, or order changes need validation against current policies and approval limits.

Why Logiciel · 07

Copilot success depends on fewer handoffs and better task completion, not merely the number of generated replies.

What you get

What You Get From Logiciel AI Copilot Development Services for Retail.

We connect AI assistance to retail data and daily workflows so staff can act on relevant information without losing control of decisions.

01

Product and inventory-aware guidance

using approved catalog, availability, pricing, and policy information for the relevant channel

02

Faster associate knowledge access

helping teams find product details, store procedures, and customer service guidance

03

Merchandising decision support

summarizing assortment signals and highlighting questions for planners to investigate

04

Contextual customer assistance

preparing responses from permitted order, return, and loyalty information

05

Controlled retail actions

keeping refunds, discounts, stock adjustments, and order changes within existing authorization rules

06

Evaluation across store scenarios

testing missing inventory, conflicting prices, policy exceptions, and regional differences

07

Support for changing retail operations

refreshing sources and monitoring answer quality as catalogs, campaigns, and channels evolve

Highlights

AI Copilots Across Retail and Ecommerce Workflows.

01

Store Associate Copilots

What it meansHelp associates answer product, availability, promotion, and procedure questions during customer interactions.
02

Customer Service Copilots

What it meansSummarize authorized order context and suggest responses for delivery, returns, exchanges, and service requests.
03

Merchandising Copilots

What it meansHelp category teams explore assortment information, product performance, and gaps that warrant further analysis.
04

Inventory Operations Copilots

What it meansSurface stock movement, replenishment context, and exception notes for planners and store operators.
05

Ecommerce Content Copilots

What it meansAssist content teams with product descriptions, attribute checks, and merchandising copy for human approval.
06

Returns and Policy Copilots

What it meansRetrieve current return rules, organize case details, and guide staff through approved exception paths.
07

Retail Performance Copilots

What it meansHelp managers interpret authorized sales dashboards and prepare summaries for operational review.
What we build

AI Copilot Development Models Built Around Retail Teams.

01

Dedicated Retail Copilot Engineering Squad

A team develops store, commerce, or merchandising assistance with data integration, UX, testing, and rollout.

02

Retail AI Consulting and Team Extension

AI and product specialists support existing commerce teams on architecture, data access, and workflow integration.

03

Outcome-Based Retail Copilot Engagement

A focused build targets one workflow such as associate knowledge, returns assistance, or merchandising analysis.

Under the hood

AI Copilot Development Services We Deliver for Retail.

01

Retail Journey and Use-Case Discovery

We map customer and staff questions, channel differences, source systems, business rules, and success measures.

Included
02

Catalog, Inventory, and Order Integration

We connect approved product, stock, order, loyalty, and policy sources with appropriate freshness and access checks.

Included
03

Retail Context and Retrieval Engineering

We design answers around location, channel, current offers, item attributes, and authorized customer context.

Included
04

Associate and Commerce Interface Design

We embed copilot assistance into staff tools, support consoles, and ecommerce experiences with clear next steps.

Included
05

Policy and Transaction Approval Controls

We enforce permission checks and confirmation before changes to orders, refunds, pricing, or customer records.

Included
06

Retail Scenario and Quality Testing

We test out-of-stock items, expired promotions, conflicting policies, missing order data, and misleading recommendations.

Included
07

Production Monitoring and Content Refresh

We monitor answer usefulness, data freshness, errors, latency, and feedback across stores and channels.

Included
Insights

Retail AI Copilot Insights & Frameworks.

01

Store vs. Digital Copilot Opportunity Model

A way to prioritize use cases by task frequency, source readiness, staff friction, and customer impact.

Insights
02

Retail Source Freshness Framework

A method for deciding which answers need live inventory or price checks and which can rely on curated knowledge.

Insights
03

Retail Copilot Quality Model

A framework for evaluating policy accuracy, catalog relevance, permissions, resolution support, and exception handling.

Insights
How we work

Our AI Copilot Development Framework for Retail.

01

Store and Commerce Workflow Discovery

We identify high-friction tasks across service, merchandising, inventory, and customer journeys.

02

Retail Data and Policy Assessment

We review product feeds, stock data, order systems, regional rules, permissions, and update frequency.

03

Copilot and Channel Experience Design

We define retrieval, location context, interface placement, action approval, and quality criteria.

04

Build, Integrate, and Test

We validate the copilot against realistic stock changes, customer cases, policy exceptions, and access boundaries.

05

Launch, Measure, and Refine

We review task completion and feedback, improve source freshness, and adjust the experience as retail operations change.

Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Whitepaper · PDF

The Model Evaluation Report

Read more
Whitepaper · PDF

The Economics of Model Evaluation

Read more
Whitepaper · PDF

Benchmarking Model Evaluation

Read more
In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

What are AI copilot development services for retail?

They involve building AI assistance for store, ecommerce, merchandising, inventory, and customer service workflows. A copilot retrieves relevant information and prepares suggestions while staff retain control of transactions and exceptions.

Can a retail copilot use live inventory information?

Yes, if the inventory system provides an approved integration. Time-sensitive availability should be checked against an appropriate source rather than assumed from static content.

Can copilots assist store associates?

They can help associates locate product information, compare options, find current policies, and guide routine service tasks.

Can a copilot issue refunds or change orders?

Those actions should follow existing permission, validation, and approval rules. The copilot can prepare a request or guide the user without bypassing transaction controls.

Can AI copilots work across stores and ecommerce channels?

Yes. The design should account for location-specific stock, regional policies, customer identity, and differences between channels.

How do you protect customer and loyalty information?

We use application permissions, scoped data retrieval, and appropriate handling of sensitive fields. Customer context should be shown only to authorized users.

How do you measure retail copilot value?

Measures can include task completion, time to locate product or policy information, service resolution support, staff adoption, answer accuracy, and operational cost.

Let's build

Give Retail Teams the Context They Need to Help.

Tell us where associates, merchandisers, or service agents spend time hunting for information. We’ll help design assistance around your retail systems and policies.