We build production-grade AI systems for eCommerce teams across India, the Middle East, and global markets from intelligent chatbots and demand forecasting to last-mile delivery optimisation and warehouse automation.
Transform customer support, delivery operations, automation workflows, and business intelligence with enterprise-grade AI systems.
A bespoke conversational AI trained on your entire product catalogue, brand voice, policies, and past support interactions. It handles pre-sale queries, order tracking, returns, and upsells - 24/7, in any language, at millisecond speed.
Dynamic route planning, carrier selection, and ETA prediction powered by real-time machine learning. The system factors traffic, weather, order priority, vehicle capacity and SLA windows simultaneously - cutting cost per delivery while raising on-time performance.
Machine learning demand forecasting that ingests your historical sales, seasonal trends, marketing calendars, supplier lead times and external signals - automatically generating replenishment orders to eliminate stockouts and overstock simultaneously.
AI-powered warehouse management that orchestrates pick paths, slotting optimisation, inbound putaway, and quality inspection - using computer vision and reinforcement learning to maximise throughput and reach near-zero error rates without ripping out your existing infrastructure.
We connect customer conversations, product data, inventory movement, fulfilment events, and delivery performance into one decision-making layer.
The stack continuously reads order velocity, support intent, carrier delays, stock pressure, and fulfilment capacity so each workflow can adapt automatically.
Clean pipelines from Shopify, WooCommerce, OMS, WMS, CRM, support desk, and delivery partners.
Demand forecasting, support routing, replenishment logic, carrier scoring, and anomaly detection.
Automated escalations, stock alerts, route updates, fulfilment actions, and live dashboards.
A proven 5-stage delivery model that gets your AI live in 12 weeks - with zero disruption to existing operations.
Every model is tied to operational metrics your team already tracks: conversion, support load, delivery cost, stock availability, and fulfilment accuracy.
Recommendation logic uses customer intent, product affinity, and purchase history to surface the right bundle or upsell at the right moment.
Carrier selection, batch routing, and ETA prediction reduce waste across last-mile operations without weakening customer promises.
Warehouse intelligence improves pick paths, packing checks, replenishment timing, and exception handling inside your existing workflow.
Practical examples of how AI improves support, inventory, fulfilment, and delivery performance inside real commerce operations.
We designed an AI shopping assistant that answers product questions, tracks orders, resolves return requests, and recommends bundles from live catalogue data.
SKU-level forecasting connected order history, promotions, supplier lead times, and regional demand signals to reduce stockouts and excess inventory.
A delivery intelligence layer scored carriers, planned route batches, predicted ETAs, and triggered proactive customer updates through existing logistics tools.
"Working with SolutionBowl on the ATMA website project was an excellent experience. The team understood the requirements clearly and translated them into a professional, responsive WordPress website that perfectly represents the association. I highly recommend SolutionBowl for any web development or WordPress projects."
Everything you need to know about working with SolutionBowl. Can't find the answer? Reach out to our team.
Share your requirements or questions with our team, and we’ll help you with the right technical approach and next steps.
