VITJO MEDIA

Right stock, right place, right price

Retail & E-Commerce

Commerce platforms, inventory intelligence and customer analytics for retailers operating across physical and digital channels.

Inventory accuracy
99,2%
Storefront load time
0,8s
Conversion rate uplift
44%

Our position

Why we build for retail

Retail margins do not survive guesswork. The difference between a good year and a bad one is usually stock in the right place, priced correctly, in front of people who want it. We build the systems that make those three things measurable and then automatable.

Regulations we design against

  • Consumer Protection Act 68 of 2008
  • Protection of Personal Information Act 4 of 2013 (POPIA)
  • Electronic Communications and Transactions Act 25 of 2002
  • PCI DSS 4.0
  • National Credit Act 34 of 2005 (for credit offerings)

Challenges

What people in this sector actually raise

These are the problems that come up in a first meeting, with the cost of leaving each one unaddressed.

  • 01

    Inventory accuracy across channels

    Stock counts diverging between stores, warehouse and online, producing oversells and phantom stockouts.

    Lost sales and cancelled orders damaging customer trust
  • 02

    Manual replenishment decisions

    Reorder points set once and rarely revisited against actual demand patterns.

    20–35% excess stock alongside stockouts on fast movers
  • 03

    Disconnected customer view

    In-store and online behaviour held separately, so neither channel knows the customer.

    Irrelevant marketing and missed personalisation
  • 04

    Slow, poorly converting storefronts

    Sites built on heavy templates that lose mobile shoppers before the page renders.

    Every additional second of load costs roughly 7% of conversions
  • 05

    Shrinkage and loss

    Loss detected at stocktake, months after it occurred.

    1–3% of turnover, unattributed

What we build

Systems for retail operations

  • Unified commerce platform

    One inventory, pricing and customer model across store, web and marketplace.

  • Demand-driven replenishment

    Reorder points recalculated continuously against velocity, seasonality and lead time.

  • Customer data platform

    Identity resolution across channels feeding segmentation and lifecycle marketing.

  • High-performance storefronts

    Sub-second commerce experiences engineered for mobile and South African network conditions.

  • Loss-prevention analytics

    Anomaly detection across till, stock and camera data to surface loss in days rather than at stocktake.

  • Dynamic pricing and promotion

    Rules and models balancing margin, velocity and competitive position.

AI opportunities

Where AI genuinely pays in this sector

Ranked by how proven the approach is. We are explicit about what is experimental, because deploying an experiment as though it were proven is how AI programmes lose credibility.

  • Demand forecasting per SKU per location

    proven

    Granular forecasts driving allocation and replenishment.

    Typical return18–30% inventory reduction at equal availability
  • Product recommendation

    proven

    Behavioural recommendations across web, email and in-store clienteling.

    Typical return8–15% uplift in average order value
  • Visual search and cataloguing

    proven

    Automatic attribute extraction and tagging from product photography.

    Typical return80% reduction in cataloguing effort
  • Queue and footfall analytics

    emerging

    Vision-based traffic and dwell analysis for staffing and layout decisions.

    Typical return10–15% improvement in labour scheduling

Questions

Retail — common questions

The questions we are asked most often by operators in this sector.

  • Do you build on Shopify or from scratch?
    Whichever is right. Shopify or WooCommerce is often the correct answer for a straightforward catalogue, and we will say so. We build custom when the fulfilment model, pricing logic or integration surface makes a platform fight you.
  • Can you integrate with our POS?
    Yes — the common South African POS systems all expose an integration path, and where one does not we build a bridge rather than replacing the till.
  • How quickly can forecasting pay for itself?
    Typically within two to four months on a mid-size catalogue, driven mostly by the working capital released from excess stock.
  • What about marketplace channels like Takealot?
    Fully supported as a channel in the unified inventory model, so listings, stock and pricing stay consistent with your other channels.

Working in retail?

Tell us what you are trying to change. We will tell you honestly whether we can help and what it would take.

WhatsApp+27 81 586 8991