Construction and facilities In active development
A facility management platform that replaced spreadsheets and phone calls
Every request, inspection and cost for every building now lives in one place, with a clear owner and status.
Industries
Software and AI for retailers with shops and online sales
Retailers make hundreds of small decisions every week about stock, prices and staff. We build tools that put the right numbers in front of the people making them.
Common challenges
What slows this industry down
Retailers with physical shops and online sales juggle two sets of customers, two sets of stock and often two or three systems that do not agree. The point of sale, the online store, the stock system and the accounting package each hold part of the picture. Managers spend hours pulling reports together to answer simple questions, such as what sold last week and what to reorder.
Good decisions depend on timely data. When sales, stock and customer feedback sit in one place, managers see slow sellers early, reorder the right quantities and react to complaints before they spread. None of that needs a large team. It needs clean data and simple tools that people will actually open.
We build sales and stock dashboards, forecasting tools, feedback analysis and simple store apps that connect your point of sale, online store and suppliers. AI helps forecast demand, sort customer reviews and spot patterns. Buyers and store managers make the final calls.
Too much or too little stock
Reorders are based on gut feel, which leaves slow items on shelves and best sellers out of stock.
Reports built by hand
Weekly sales and stock reports are assembled from several exports in spreadsheets.
Shops and online out of step
Stock and prices differ between the shops and the online store, which frustrates customers.
Feedback scattered
Reviews, surveys and complaints arrive through many channels, and nobody reads them all.
Pricing pressure
Competitor prices and promotions change often, and reacting in time is hard.
What we build
What we build for this industry
The services retailers ask us for most often.
Dashboards and reporting
Dashboards that pull numbers from the systems you already use and show what matters without a spreadsheet.
Progressive web apps
Web apps that install on a phone, work offline and send notifications, without an app store.
Computer vision
Software that reads photos and scans: damage checks, stock counts, document capture and quality control.
Ecommerce websites
Online stores with clean product catalogs, simple checkout and the integrations that keep orders moving.
Solutions that fit
Problems we solve here most often
Forecasting dashboards
Forecast demand from your sales history and seasonality, and flag items to reorder before they run out.
Feedback analysis
Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
Price monitoring
Collect competitor prices automatically, match them to your products and alert you when something changes.
Scheduling and drafting automation
Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
Similar work
Similar work from other industries
Finance and accounting In use
A payroll system that turned a monthly build into a monthly review
Payroll is calculated from recorded inputs, reviewed once and sent as payslips in a single batch, with every change logged.
SaaS and startups Design stage
Designing a goal tracker that measures effort, not streaks
A product design built around handwritten daily proof, locked plans and honest self-scoring. The build is in progress.
In practice
What it looks like in practice
An illustrative walk-through, not a client story.
A retailer with eight shops and an online store connects its point of sale, online store and stock system to a single dashboard. Store managers see yesterday's sales, stock on hand and items at risk of running out each morning on a tablet. Head office sees the same numbers for every shop without asking for reports.
A forecasting model uses two years of sales, seasons and promotions to suggest reorder quantities for each product and shop. The buyer reviews the suggestions, adjusts for a planned promotion and approves the orders. Once a week, an AI model reads all new reviews and survey comments and groups them by theme. The top theme this week is slow checkout at one shop, which the regional manager follows up the same day.
Nothing here replaces the buyer or the store manager. The tools remove the report building and the reading, and they give both roles better information earlier in the week.
Where to start
Where most retail teams start
Most retailers start with sales and stock dashboards, because every later tool depends on clean, connected data. Once the data is in place, demand forecasting is usually the next step and has a clear return in less wasted stock.
Retailers with many reviews add customer feedback analysis. Those competing on price add price monitoring. If the online store itself needs work, we start with ecommerce development, and store teams often benefit from a simple progressive web app for stock counts and tasks.
Models and tools
MCP servers and AI models that matter here
These connect AI to the tools this industry already uses. We pick per project and test on real data first.
- Shopify DevShopify's Dev MCP server helps developers build for Shopify: it searches Shopify docs and API schemas and validates GraphQL, components and themes.
- Google SheetsGoogle's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- SquareSquare's official MCP server lets AI reach the whole Square API, from payments and customers to catalog, inventory and bookings, through one request tool.
- Gemini 3.8 FlashGoogle's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
Keep exploring
More for retail
Related services
View all related services- Dashboards and reporting Dashboards that pull numbers from the systems you already use and show what matters without a spreadsheet.
- Progressive web apps Web apps that install on a phone, work offline and send notifications, without an app store.
- Computer vision Software that reads photos and scans: damage checks, stock counts, document capture and quality control.
- Ecommerce websites Online stores with clean product catalogs, simple checkout and the integrations that keep orders moving.
- Headless CMS Content managed in one place and published to your website, app and other channels through an API.
- Android apps Native Android apps that work well across the wide range of phones your customers carry.
Solutions
View all solutions- Forecasting dashboards Forecast demand from your sales history and seasonality, and flag items to reorder before they run out.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
- Price monitoring Collect competitor prices automatically, match them to your products and alert you when something changes.
- Scheduling and drafting automation Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
- Automated reporting Reports that build themselves from your systems on schedule, with a plain-language summary of what changed.
- Receipt capture and matching Snap a receipt, and the details are read, categorized and matched to the card transaction and the right project.
Industries
View all industries- Manufacturing Quality inspection, production dashboards, quoting tools, knowledge assistants and legacy system modernization for manufacturers.
- Construction and facilities Job tracking, maintenance requests, inspections, quotes and proof-of-work photos for builders and facility teams.
- Ecommerce Online stores, product data cleanup, support assistants, price monitoring and order automation for online retailers.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
- Logistics and transportation Driver apps, order and shipment tracking, document processing and integrations for logistics and delivery companies.
- Marketing agencies Landing pages, content workflows, client reporting and white-label development capacity for marketing agencies.
Guides and articles
View all guides and articlesAI models
View all ai models- Gemini 3.8 Flash Google's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
- Stable Diffusion 3.5 Stability AI's open-weight image models, in Large, Medium and Flash versions, which can be self-hosted or used through the Stability API.
- Gemini 3.1 Pro Google's most advanced Gemini model for reasoning, software engineering and agent work, reading text, images, audio, video and PDFs. Available as a preview.
- FLUX.2 Black Forest Labs' FLUX.2 image models: API-only Pro, Flex and Max versions, plus open-weight Dev and Klein versions under different licenses.
- Midjourney V8 Midjourney's image generation service, known for its visual style. V8.1 is the default since June 2026 and V8.2 followed in July. There is no public developer API.
- Mistral OCR 4.1 Mistral's document OCR model, turning pages into structured output with bounding boxes, block labels and confidence scores.
MCP servers
View all mcp servers- Shopify Dev Shopify's Dev MCP server helps developers build for Shopify: it searches Shopify docs and API schemas and validates GraphQL, components and themes.
- Google Sheets Google's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- Square Square's official MCP server lets AI reach the whole Square API, from payments and customers to catalog, inventory and bookings, through one request tool.
- Google Analytics Google Analytics' official MCP server lets AI run GA4 reports, funnels and realtime reports and read property settings. Read-only.
- WooCommerce WooCommerce's official MCP support, in preview, exposes store abilities for products and orders through the WordPress MCP Adapter.
- Airtable Airtable's official hosted MCP server lets AI list workspaces, create bases and read records, with wider read and write access to tables and automations.
Glossary terms
View all glossary terms- Machine learning Machine learning is a way of building software that learns patterns from data to make predictions or decisions, instead of following only hand-written rules.
- Database A database is an organized store of data that software can search, update and keep consistent, such as customers, orders or bookings.
- Zero-shot classification Zero-shot classification is sorting text or images into categories an AI model was not specifically trained on, using only the category names or descriptions.
FAQ
Questions from retail teams
Have a question that is not here? Ask us directly.
Yes. A forecasting model uses your sales history, seasons and promotions to suggest reorder quantities, which buyers review. Accuracy depends on data quality, so we test on past data first. See demand forecasting.
Usually yes, through their APIs. Square, Shopify and many other systems offer one. See API integration.
Yes. It groups reviews and comments by theme and sentiment and highlights urgent issues. See customer feedback analysis.
No. We set up the data connections and dashboards, and your managers use them like any other tool. See dashboards and reporting.