AI for Retail & E-commerce

Retail & E-commerce AI Automation

Improve margins and conversion with AI that handles demand forecasting, pricing, recommendations, and cart recovery. We deliver automation that fits your stack and scales with your growth.

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Retail and e-commerce

BespokeWorks builds retail and e-commerce automation for UK and international brands. From demand forecasting and dynamic pricing to recommendations and abandoned-cart recovery, we focus on higher conversion, better margins, and less manual work—without replacing your existing platforms.

Many retailers juggle multiple systems and manual planning. We design automation that fits your e‑commerce and inventory stack, with measurable ROI and no rip-and-replace.

Better stock visibility Improve demand and inventory accuracy
Smarter pricing Optimise margins and promotions without manual work
Boost conversion Recover abandoned carts and personalise recommendations

Core Automations

  • Demand and inventory forecasting
  • Dynamic and promotional pricing
  • Personalised product recommendations
  • Abandoned cart and browse recovery
  • Customer segmentation and targeting

Advanced Solutions

  • Fraud and risk prevention
  • Supply chain and stock optimisation
  • Trend and seasonality prediction
  • Omnichannel and cross-channel sync

Frequently asked questions

How does automation fit with our e-commerce and inventory systems?

We design solutions to integrate with your current e-commerce platform, OMS, and inventory tools. Automation runs alongside your workflows rather than replacing them, so you keep control of pricing, stock, and customer experience.

Where do we see the biggest impact—forecasting, pricing, or conversion?

Our free audit identifies high-impact areas for your business—often demand forecasting, dynamic pricing, or cart recovery—and outlines a phased approach with measurable ROI on margin and conversion.

Can we start with one channel or region and scale?

Yes. We typically start with one area (e.g. forecasting or recommendations), prove value, then extend. Automation is built to fit your stack so scaling is incremental across channels and regions.