Retail
Fractional CTO for Retail
Fractional CTO for retail, built around the constraint that defines the sector: store-level data is noisy and channels are usually not integrated.
- Regulations in scope
- 4
- Systems we integrate
- 5
- Typical first release
- 6 weeks
What changes when it is retail
A non-technical founder making architecture and hiring decisions alone is the most expensive gap in an early company. This role closes it without a full-time salary and equity.
In retail, store-level data is noisy and channels are usually not integrated. That single fact reshapes how fractional cto has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is markdown optimisation, usually integrated against e-commerce platforms. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.
Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.
The sector constraints we design around
- Defining constraint
- store-level data is noisy and channels are usually not integrated
- Regulations in scope
- consumer protection rules · GST compliance · DPDP Act 2023 · labelling and weights standards
- Systems of record
- POS · inventory management · ERP · CRM · e-commerce platforms
- Where we usually start
- demand forecasting by store and SKU
Fractional CTO workloads in retail
- demand forecasting by store and SKU
- planogram compliance checking
- customer service automation
- markdown optimisation
- shrinkage detection
What is included
- Architecture and technical debt assessment with a prioritised plan
- Engineering hiring, role definition, screening and interview design
- Vendor and platform selection with explicit criteria
- Delivery process and quality standards your team can sustain
- Board and investor technical reporting in plain language
- A handover plan for when you hire full-time
Questions from this sector
Our store data is messy.
Universally true, and the data audit is the first work package. Stockouts unrecorded as zero sales are the single most common distortion in retail forecasting.
Can it work across online and offline?
Yes, and unified demand across channels is usually where the largest gains sit. Most retailers forecast them separately and lose accuracy to it.
How much time do we get?
Typically one to three days a month, scaled to what is happening. Fundraising, a migration or a hiring push warrant more; steady state needs less.
Will you help us hire a permanent CTO?
Yes, and we consider it part of the job. Defining the role, screening and handing over cleanly is the intended end state.
Can you do technical due diligence?
Yes. Both sides. Assessing a target before acquisition, or preparing your own codebase for an investor's review.
Other capabilities for retail
- AI Agent Development for Retail
- Agentic Workflow Automation for Retail
- LLM Application Development for Retail
- RAG & Knowledge Retrieval for Retail
- Chatbot Development for Retail
- WhatsApp Bot Development for Retail
- Voice AI Agents for Retail
- Computer Vision for Retail
- AI Copilot Development for Retail
- Predictive Analytics & Forecasting for Retail
Fractional CTO for retail, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878