Modern warehouse with organized shelving and inventory boxes — wholesale and retail operations

AI for Wholesale & Retail

Inventory accuracy, demand forecasting, and supplier ops on autopilot.

Wholesale and retail SMEs in the UK lose margin to two silent drains: stock that doesn't match the system and supplier paperwork that consumes a buyer's week. Both are fixable with off-the-shelf AI plus a small amount of integration work.

We deploy AI that reconciles SKUs across channels, forecasts reorders before stockouts hit, and reads supplier invoices straight into your accounting stack — typically pays back inside a single quarter.

Wholesale & Retail

Top 5 most common use cases

Each ships in weeks, not quarters, with a clear ROI signal. Pick one, prove the value, then scale.

1

Cross-channel inventory reconciliation

Match SKUs across Shopify, Amazon, EPOS, and your warehouse system in near real time. Catches drift before it becomes a stockout or an oversell.

Cuts stock-discrepancy investigations by 70–85% and prevents £10k+ per-month oversell losses on busy SKUs.

LLM SKU matchingn8nPostgresChannel APIs
2

Demand forecasting & smart reorder triggers

Forecast model that ingests sales history, seasonality, and lead-time data, then writes reorder suggestions into your buying tool with a confidence band.

Buyers cover 3× more SKUs in the same time; held-stock value typically drops 15–25%.

Prophet/XGBoostSupabasePower BI / Looker
3

Supplier invoice OCR & three-way match

Reads PDF and emailed invoices, matches line items against the PO and the goods-receipt note, flags discrepancies for a human only when the model is unsure.

Typically 60–80% reduction in manual AP review time; same headcount processes 3× the invoice volume.

OCRGPT-4o visionn8nXero / Sage / NetSuite
Read the case study
4

AI-powered customer support deflection

Tier-1 agent that answers 'where's my order', returns/refunds, and product questions from your own help-centre and order data. Escalates anything ambiguous.

Deflects 40–60% of inbound tickets; first-response time drops from hours to seconds.

RAGZendesk / Freshdesk webhookOpenAI
5

Product description & listing generation at scale

Generate consistent, on-brand product descriptions for thousands of SKUs across channels, with built-in retrieval of your tone-of-voice guidelines.

10–20× faster catalogue rollout with measurably higher conversion than supplier-default copy.

LLMBrand-voice RAGPIM connector

Wholesale & Retail — frequently asked questions

We're on Shopify and a legacy ERP — can you connect both?+
Yes. We integrate via REST/GraphQL APIs, scheduled CSV exports, or a thin database connector — whichever your ERP supports. The AI layer is decoupled from any single system, so swapping ERPs later doesn't break the automation.
How accurate is the invoice OCR for non-standard supplier formats?+
Modern vision-LLM pipelines hit 95–98% line-item accuracy across messy PDF and scanned formats. We benchmark on your real supplier mix during the pilot and only go live when accuracy clears your threshold.
What does a typical retail engagement cost?+
We scope a single use case (usually invoice OCR or inventory reconciliation) as a 4–6 week paid pilot. Once ROI is proven we expand. Most retail SMEs see net positive ROI inside one quarter.
Will you train our team to maintain it?+
Yes — every engagement includes runbooks, observability dashboards, and handover sessions. You shouldn't depend on us to keep the lights on.

Our 6-Step Approach

From process friction to measurable impact.

We help SMEs design and deploy AI-powered workflow automation that delivers real results — safely, efficiently, and with your team in control.

  1. 01

    Workflow Review

    We map the manual process end-to-end: systems involved, current time cost, error points, and business impact.

    60–90 minutes
    Workflow map and automation opportunity summary
  2. 02

    Bottleneck Prioritisation

    We select the workflow with the strongest mix of pain, feasibility, and measurable ROI — so you start where it matters most.

    2–3 working days
    Prioritised workflow and success criteria
  3. 03

    Prototype Build

    We build a small AI-assisted workflow using your sample data, screenshots, exports, or existing documents. No dummy demos.

    10–14 working days
    Working prototype or interactive demo
  4. 04

    Human Review and Controls

    We add review points, exception handling, confidence thresholds, and fallback rules — so nothing runs unsupervised until you trust it.

    Included in prototype
    Controlled workflow ready for pilot
  5. 05

    Pilot and Measurement

    We test the workflow with real users and measure time saved, errors reduced, and adoption issues before scaling anything.

    2–4 weeks
    Pilot report and scale recommendation
  6. 06

    Deploy or Improve

    We scale the workflow and integrate it properly — or stop if the numbers do not justify further spend. No lock-in.

    Based on pilot results
    Deployment plan or improvement backlog

Practical and Proven

A structured approach focused on real business outcomes.

Human-Centred by Design

Automation with the right controls, transparency, and accountability.

Continuous Value

Measure, learn, and improve — so your operations keep getting better.

Ready to map the highest-ROI AI use case for your wholesale & retail business?

Book a free 30-minute audit. We'll review your current workflows, propose the use case with the clearest ROI signal, and walk you through what a 4–6 week pilot would look like.

Book Wholesale & Retail Workflow Review