Turn your online store into a smarter, connected commerce business.
Improve product discovery, customer experience, repeat purchases and store operations through practical AI, automation and ecommerce analytics — with real marketplace experience behind the approach.
Many ecommerce teams work hard on products, ads and fulfilment but lose momentum between discovery, checkout, support and the next purchase.
Customers browse but struggle to find suitable products or clear answers.
Interested visitors leave checkout or stop engaging before purchasing.
Order changes, FAQs, catalog work and seller coordination take staff time.
Marketing, orders and repeat-customer signals are difficult to interpret together.
AI-assisted product guidance using approved catalog and policy information.
Consent-based reminders, customer support and post-purchase workflows.
Structured order exceptions, support routing and product data assistance.
Dashboards for sales, AOV, conversion, categories and repeat orders.
Every business has different products, margins, consent requirements and tool limitations. Results are measured, not promised.
Select a realistic journey; connect the store, approved AI assistance, customer communication, team actions and reporting.
A customer discovers products through search, ads, social or the online shop.
A product assistant helps find relevant items and answers approved FAQs.
Permitted reminders or support tasks are triggered when appropriate.
Order status, customer support and repeat-order opportunities are coordinated.
Dashboards connect sales and customer journey indicators.
Staff handle refunds, disputed orders, restricted product advice, sensitive customer matters and unclear situations. Customer communication respects permissions and opt-in requirements.
Start where the potential business impact is clearest. Digital systems and integrations support the AI experience, rather than adding unnecessary complexity.
Configure product-finding assistance and approved answers about product use, shipping and policies. Never invent product or health claims.
Set up compliant recovery journeys, reminder rules and staff actions for eligible customers.
Guide routine order, delivery, return and refund questions with clear escalation to staff.
Identify permitted repeat-purchase and replenishment opportunities from customer history and consent.
Draft consistent titles, descriptions, category suggestions and structured product fields for human approval.
Route order issues, vendor or seller requests, listing tasks and stock-related exceptions.
Track sales, orders, conversion, AOV, category contribution and repeat-customer indicators using accessible data.
Coordinate customer journeys across appropriate store, campaign, CRM and messaging platforms.
Set up privacy-aware customer access, human review rules, testing and documented operating procedures.
Defined workflows, not just app recommendations.
Product finding and assistance
Consent-based journey follow-up
Service and repeat purchases
Order, catalog and seller workflows
From smaller D2C brands to multi-vendor marketplaces, the right automation depends on product type, order volume, marketing channels and customer needs.
Integrations depend on APIs, licenses, platform permissions and store configuration.
Specific examples for real product categories and commerce models — rather than generic AI promises.
Make product education and customer confidence easier.
Help shoppers compare products and stay engaged.
Handle non-clinical ecommerce questions responsibly.
Improve discovery across large catalog variations.
Simplify frequent purchasing and fulfillment enquiries.
Make considered purchases easier to complete.
Make specifications and support more accessible.
Connect bulk enquiries and account workflows.
Coordinate buyers, sellers and platform operations.
Improve service for recurring purchase models.
We can map the customer journey and propose the most relevant starting workflow.
Illustrative opportunities, not guaranteed features in every package. Sensitive and regulated product information needs verified source material and human review.
A focused ecommerce AI pilot for an existing online store.
For brands that want a connected conversion and retention setup.
For larger catalogs, brands and multi-vendor operations.
Compare three scopes; package prices and final deliverables are sent individually after reviewing your store and business requirements.
A focused ecommerce AI pilot for an existing online store.
For brands that want a connected conversion and retention setup.
For larger catalogs, brands and multi-vendor operations.
Improve what already exists before deciding whether new technology is needed.
Review store platform, products, traffic sources, customer journey, metrics and highest-friction process.
Select the first use case, integration approach, human controls, channels and agreed success measures.
Build the approved AI workflow, test store data, customer experiences, compliance and exceptions.
Train staff, hand over operating steps and review checkout, support, repeat orders or time saved.
Timelines are indicative and depend on required access, approvals, number of integrations, store readiness and selected workflows.
This representative example links guided shopping, consent-aware journeys, team actions and management reporting.
Our Orgoshops ecommerce marketplace project reflects hands-on work with digital business planning, platform workflows, vendor coordination, customer experience, digital marketing and analytics. We use that business understanding to scope ecommerce AI solutions around real operational challenges.
Explore the Orgoshops ecommerce case study →In ecommerce, an attractive website alone is not enough. Product data, sellers, customer communication, fulfillment, marketing and reporting need to work together. This experience helps OhmGenius identify realistic AI opportunities without proposing a generic chatbot for every business.
Understand the implementation scope, platforms, responsible AI use and how ecommerce results are evaluated.
No. This is an AI-first ecommerce improvement and automation offering for an existing or ready-to-launch digital commerce business. Website, app, store build or redesign work can be scoped separately through Digital Business Services.
Yes, both are potential starting points. We assess your installed apps, store setup, theme, API access and business requirements before confirming which integrations are technically suitable.
Yes. Our ecommerce and marketplace background is relevant to seller onboarding, catalog management, service workflows and reporting. The available platform APIs and access rights determine the implementation.
The MVP focuses on AI systems, customer journeys and measurement. Paid media setup or ongoing campaign management can be included as a separately agreed digital service.
No specific uplift is guaranteed. We first select measurable opportunities such as response time, checkout completion, repeat ordering or operational efficiency, then evaluate results with actual business data.
Only where the customer consent, chosen WhatsApp provider, approved templates and applicable platform requirements support it. We do not set up unsolicited or non-compliant messaging.
AI can assist with drafts, standardization and catalog fields. Brand owners remain responsible for reviewing factual claims, product safety, regulated claims and marketplace policy compliance.
No. Ecommerce apps, CRM tools, AI usage, hosting, WhatsApp fees, third-party connectors and taxes are stated separately in the individual quotation where applicable.
START focuses on one measurable workflow; GROW links several journeys with visibility and customer data; SCALE addresses broader systems, teams or marketplace complexity. Every package receives a written scope and personalized quotation.
It demonstrates relevant digital commerce and marketplace transformation experience across strategy, workflows, vendors, marketing and analytics. It is not presented as independent proof that this exact AI MVP has achieved a particular conversion or sales uplift.
The agreed implementation includes documentation, handover and team training. Optional ongoing monitoring and optimization can be quoted separately.
Share your store URL, products, order volume, sales channels and biggest challenge. We can map a suitable AI use case and propose a phased implementation without replacing what already works.
AI START / GROW / SCALE — personalized quotations. No sales or revenue guarantees.
Store URL and platform
Products and categories
Approximate monthly orders / visits
Customer support and marketing channels
Main growth or operations bottleneck