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Home · Industries · Retail & CPG
Retail · Consumer Goods · E-Commerce

AI that drives revenue, not just cost savings

Most retail AI conversations start and stop at cost reduction — warehouse robotics, store-staffing optimisation, supplier automation. The bigger prize is on the revenue side: demand forecasting that gets the right product to the right shelf, conversational commerce that lifts basket size, personalisation that justifies the e-commerce investment, and content generation that lets you compete with Amazon and Shein on velocity. We deploy AI across the retail value chain for brands and retailers across Africa, the UK, and the Gulf, with the integration depth into commerce platforms, ERPs, and marketplaces that determines whether the AI moves a metric or stays on a dashboard.

15%
Avg demand-forecast improvement
22%
Conversational commerce basket lift
Real-time
Inventory visibility
Content production velocity
Key Challenges

Where Retail & CPG organisations need AI most

01

Demand forecasting in a post-COVID world

Demand signals broke during the pandemic and have not stabilised. Poor forecasts drive out-of-stocks, excess inventory, and write-downs simultaneously. AI demand forecasting with external signals and granular SKU-level treatment can improve accuracy by fifteen to thirty percent — but only with the data integration and product-master discipline that most retailers underinvest in.

02

Personalisation that survives privacy regulation

Customers expect personalised experiences; regulators expect consent-based data use; the third-party cookie is largely gone. Effective personalisation now requires first-party data sophistication, consent management, and on-device or in-tenant inference. The retailers that win this decade are the ones that get this combination right.

03

Multi-tier supplier complexity

Managing hundreds or thousands of suppliers across multiple tiers, with inconsistent data quality, frequent price changes, and supply disruption is a manual nightmare. AI applied to supplier scoring, document automation, and disruption prediction returns operational and financial value simultaneously.

04

Content velocity at SKU scale

E-commerce at scale requires product descriptions, campaign copy, and localisation at a pace no team of copywriters can sustain. GenAI for content production — with brand-voice fine-tunes and human approval workflows — lets retailers compete with marketplaces that produce content at industrial scale.

05

Omnichannel inventory and fulfilment

Customers expect to buy online and pick up in store, return online and refund to card, browse in store and order to home. The operational complexity demands real-time inventory visibility and fulfilment orchestration that legacy retail systems were not designed for.

AI Accelerator Library

Proven accelerators for Retail & CPG

Df
Demand Forecaster
SKU + region demand forecasts with weather + events.
Io
Inventory Optimizer
Multi-echelon inventory rebalancing across DCs.
La
Logistics Automator
Carrier selection, booking and exception management.
Cn
ChatNext
Cutting-edge NLP chatbot with low-code studio, deployed across Africa, UAE and UK banks.
Fb
Feedback Classifier
NPS + open-text feedback to actionable themes.
C3
Customer 360
Unified customer profile across CRM, support and product signals.
Pp
Procurement Planner
Sourcing event automation with supplier scoring.
Bi
BI Dashboard Builder
Natural-language to dashboard for Power BI, Tableau, Looker.
View full library of 117 accelerators →
Case Studies

Results we've delivered

15% inventory reduction

Pan-African FMCG: demand forecasting at SKU-store granularity

Demand Forecaster applied to eight-thousand SKUs across three markets, with external-signal augmentation for weather, holidays, and macroeconomic indicators. Forecast MAPE improved from eighteen percent baseline to twelve percent; on-shelf availability rose while inventory fell fifteen percent.

22% basket-size lift

Multi-brand retailer, Gulf: WhatsApp Commerce

ChatNext-powered WhatsApp shopping assistant integrated with product catalogue, inventory, and the payment gateway, with personalised recommendations driven by purchase history. Average order value increased twenty-two percent on conversational channel; conversational order share now eleven percent of total digital.

60% AP effort reduction

Listed CPG manufacturer: AP and supplier automation

DocuMage plus AP Automation accelerator handling three-thousand supplier invoices monthly across multiple currencies and tax regimes. Finance team capacity freed for variance analysis; supplier query handling time reduced by a similar margin.

3× content velocity

Specialty fashion retailer, UK: content production at scale

GenAI content production for product descriptions, category pages, and campaign assets across twelve languages, with brand-voice fine-tuning and editorial approval workflow. SKU coverage extended to depth that previously required treble the copywriter headcount.

8% margin improvement on test categories

Grocery retailer, South Asia: dynamic pricing and promotion

ML-driven price and promotion optimisation across selected categories with elasticity modelling and competitor-price ingestion, A/B tested in controlled stores before rollout. Margin improvement of eight percent on tested categories with no measurable elasticity loss.

11% delivery-time reduction

Quick-commerce operator, Middle East: rider-routing and operational analytics

Real-time routing optimisation with traffic and weather integration, plus operational dashboards giving rider supervisors live visibility into the network. Average delivery time fell eleven percent; rider productivity up nine percent.

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